JP4740597B2 - Method for processing user-provided input words - Google Patents

Description

This application contains an appendix consisting of over 300 lines of computer program listings. According to 37CFR1.96 (c), the computer program list included in more than 300 lines is submitted as a computer program list appendix for compact discs compliant with the standards described in 37CFR1.96 (c) (2) It should be. These discs are incorporated herein by reference. It submits two identical copies. The file names related to the disk and its size are as follows. Everything was created on January 5, 2003.
MW Formmethods. pdf
28k (26,071 bytes)
MW_ObjectMethods. pdf
516K (525,700 bytes)
MW TriggerMethods. pdf
28K (25,660 bytes)
MW_ProjectMethods. pdf
3.2MB (3,451,609 bytes)
MW Tables. pdf
28K (28021 bytes)

  The present invention relates to a collection of tools useful for lighters. Specifically, the present invention relates to a method and system for electronically storing and retrieving information related to songwriting. However, the techniques in this document are applicable to a number of areas in teaching the collection of required resources that are programmed to interact, increasing memory and resources for all types of output storage (mind). Further, while a tool is provided to the system, it is contemplated that the tool can be used independently or in combination and that the parts can be used separately or together in various combinations.

Writing techniques can be difficult, and writers often face blank sheets of documents looking for inspirational ideas and directions. As writers find ideas and hopefully inspire, it becomes more important for writers to quickly and easily access information and features about rhymes, SOUND-ALIKES ^™ sources, phrases, and songs. If research and problem solving take a lot of time, the inspiration disappears and disappears as quickly as it does.

  Today's rhyme and phrase dictionaries are cumbersome and limited. Current rhyme dictionaries generally contain only rhymes, not words that are not, but ignore words that resemble ears. These rhymes that are similar but not homologous are referred to herein as SOUND-ALIKES words. Providing only rhymes results in a limited list of rhymes for a large number of words, possibly all unrhymed words. Thus, accessing not only the homonyms but also the SOUND-ALIKES word expands the possibilities of rhymes and gives the writer a larger list of selected rhymes.

  Other pronunciations are also generally ignored in many rhyme dictionaries. A rhyme dictionary that provides different pronunciations and SOUND-ALIKES words is needed, which is an important advantage.

  Current phrase dictionaries are usually collections of modern sayings, clichés, obsolete phrases and sayings that try to eliminate combinations of phrases and words. Neither can the writer be unique. The time and research required to retrieve only phrases that contain a specific word or end with a word that rhymes with a specific word is lengthy, difficult and impractical. There is a need for a comprehensive phrase dictionary that includes both traditional and modern phrases and a design that makes the user unique by granting writers the ability to search for phrases that rhyme or contain specific words And an important advantage.

  A songwriter may be creating multiple songs at the same time. These songs may include one or more different collaborative writers. Organizing and maintaining multiple song lyrics, sketches, and melody tracks is a difficult task. Lyric sheets and cassette tapes containing references to melodies are often mislabeled, misplaced somewhere, or lost. There is a need for a system that allows writers to organize and store not only the completed song but also the song they are creating, including rhymes, phrases and reference material collected for that song, It is also an important advantage.

  A songwriter usually does not protect a song by copyright until it is commercially recorded. This makes the song unprotected for quite a long time. A quick, easy and inexpensive way to register and certify the creation date is needed, which is an important advantage.

Thus, the present invention provides:
A method for processing an input word provided by a user by a computer system having a non-volatile memory and a volatile memory to assist a songwriting creation process by displaying a selected word , the computer comprising: The system includes software in the non-volatile memory that includes a collection of word definitions, word synonyms, word allems, phrases, and pop culture words contained within the category of pop culture words and phrases. and a program and a database, wherein the software program includes rhyme, rhyme phrases, phrases, for alliteration, and the syllables filter for information collected from the pop culture word and SOUND Alike word, (i) the By user Wherein the step (i) of the input word is input, (ii) without having to re-enter the input word, the following (a) exact rhyme of the input word I, similar to (b) the input word And (c) a phrase ending with a word containing the same or similar sound as the input word, and (d) the above collection containing sounds that are the same or similar to the input word. 1 or more SOUND Alike word contained, among either, all selectable, the selected from the word in the database of the nonvolatile computer, the following groups all; rhyme, phrases, alliterations then, pop culture of words and phrases, in step (ii) separating in at least one, and has a number of syllables that are selected (iii), the word及Providing the syllables filter capable of displaying a phrase only, is selected for the input word, only words and phrases of these is a word or phrase that is required for the storage of the non-volatile memory Displayed to allow a computer user to detect words and phrases from the words and phrases displayed in the storage of the non-volatile memory by selecting, and the requested word or phrase is subsequently used it can be called as a collection in a session that forms a user collection of the detected words and / or phrases, including scan and step (iii), and wherein the.
Thus, the present invention provides references and means for creating these references, the reference comprising a rhyme reference and a SOUND-ALIKES reference, which are independent or other references. Can be operated in conjunction with

Means for Solving the Problems and Effects of the Invention

The system and method of the present invention includes word processing, audio processing, reference dictionaries (and references and dictionaries referred to herein), and related features that are all housed in one program and separable into separate programs. Is provided. Those skilled in the art will appreciate that these features exist and can be used as individual programs, but their functionality is greatly enhanced when integrated into one program. The word processing function allows the user to create, store and review lyrics and ideas. The audio processing function allows the user to record imported stereo CD quality tracks as well as melody and musical ideas.
(Overview)

Each of the reference dictionaries has a specific function in the program and method described below. The following are just some of the references that can be included in a program as described herein for use by a songwriter. Other references are included for different types of output. Those skilled in the art will readily understand this compatibility and modifiability of the reference and understand that the description herein is an example of one embodiment of the methods and programs taught herein. Many clearly different embodiments will be apparent to those skilled in the art depending on the desired output. This book also describes the SOUND-ALIKES database, rhyme database, allelic database, and phrase database, all of which can be created in a variety of different ways other than those described here. Should. Rhyme dictionaries, rhyme collections (check English grammar lessons) and phrase collections are on the market. There is a lot of analysis about the languages that can be used to create a new collection of these items. Mr. Moby is one of the most famous for doing such an analysis to facilitate the creation of a dictionary of rhyming words, homophones, and allotmental words. Thus, the interactive program can be created by those skilled in the art using dictionaries and materials other than dictionaries and materials compiled in the manner described herein.
(Reference / Dictionary)
(Rhyme)

A search in the rhyme dictionary displays the same rhyme of the word being searched.
(SOUND-ALIKES)

A search in the SOUND-ALIKES dictionary displays rhymes that are similar to the word being searched but are not the same rhymes.
(Rhyme)

A search for a word in the jarmatic dictionary will display words that start with the same sound as the word being searched, but may not necessarily contain the same first letter as the word being searched.
(Pop Culture)

Pop culture dictionaries constitute an important part of American and world culture and are icons, famous names, places, events, rivers, mountains, waters, fictional characters and places, myths, religions, sports, music , Art, products, etc. Entries from the pop culture are also included in the rhyme, SOUND-ALIKES, and the nymph dictionary.
(Rhyme phrase)

A word search in the rhyming phrase dictionary displays a phrase that ends with a rhyming word in the word being searched.
(SOUND-ALIKES phrase)

A search for a word in the SOUND-ALIKES phrase dictionary displays a phrase that ends with a word that is close to the word being searched but is not in the same rhyme.
(Phrase)

The word search in the phrase dictionary displays a phrase including the word being searched.
(Definition dictionary)

A word search in the reference dictionary displays the definition of the word being searched.
(thesaurus)

A word search in the thesaurus displays synonyms for the word being searched.
(favorite)

  This reference dictionary shows the resources that the user of the method and program here preferably enters from an existing reference, but if so programmed, the user immediately wants for all outputs. This reference dictionary is all collections selected by the user from all other reference dictionaries except thesaurus and definition dictionaries. Eventually, it will be a personal collection of rhymes, phrases, allody and information that are considered most useful to the user.

  The reference dictionary can be used independently or included in a software program that is accessible and available on the user's computer system. If the user's computer system is portable, then the user can use the program on an airplane, in a hotel room, in the studio, or wherever the user wants. A single program containing multiple reference dictionaries and audio pages provides access to the physical items that a writer, such as a paper writing pad or cassette recorder, typically has at hand, and reference information provided in the program. It eliminates the need for a large number of binding reference dictionaries needed by writers and replaces them.

  All of the above reference dictionaries work individually but are also interactive. In this regard, as will be better understood from the following description, a word can be entered once to access a reference, ie, all, part of, or any one of the reference dictionaries. A search attempt at any dictionary or reference preferably searches all other dictionaries or references. Furthermore, the user can select a word in one reference dictionary and make the word a search word in another reference dictionary.

  The subject system's reference dictionary and word processing allows the user to select and use words and / or phrases from the reference dictionary. Selected words and / or phrases are collected simultaneously in the song the user is currently creating and the user's favorite dictionary. The user can display the collected words and / or phrases while working on the current song using the word processing portion of the program. In addition, the user can display the collected words and / or phrases by looking at his favorite dictionary. Eventually, the favorite dictionary becomes a user's personal dictionary composed of favorite rhymes, phrases, allodys and the like.

  As described above, the dictionary or reference is included in one software program and can be accessed and used on the user's computer system. To provide the user with more flexibility in selecting displayed words and / or phrases, the user can select between multiple different category filters when accessing these reference dictionaries. All primary, secondary, pop culture, favorites and syllables are included as category filters. While the reader will understand these filters as they read through this book, the following will help the reader in gaining an initial understanding of the filters. By referring to the rhyme dictionary, the filter allows the user to see all of the rhymes. The primary filter allows the user to see rhymes that the user finds very useful in that they are used in everyday language. The secondary filter allows the user to see rhymes that the user finds useful in that they are not used so much in the current conversation. The pop culture filter allows the user to see all of the rhymes that are pop cultures. The favorite filter allows the user to view rhymes that are collected over time and are part of the favorite dictionary. In addition, syllable filters can be used. The syllable filter allows the user to limit the words displayed by the number of syllables. All of these filters allow the user to further refine the user's search for the optimal word and / or phrase. At least some or all of these filters can be used for all dictionaries or references other than thesaurus and standard dictionaries, unless programmed.

Another feature that forms part of the systems and methods disclosed herein is referred to as Songard _™ . The Songguard system is a creation date registration service that allows a writer to register lyrics, melodies and writer information. Although this registration does not replace filing and the copyright office, it does provide a record of the creation date that may be useful in future issues with writing.

  While all of the above features are shown together in the following description, it is understood that they can be used individually or in various combinations. By way of example and not limitation, a SOUND-ALIKES reference can be purchased separately and the filters associated with that reference can also be purchased separately.

  The following drawings are presented for purposes of illustration only to better understand the methods and systems described herein.

  The overview section above describes the general concept of the method and program of the present invention. According to the present invention, it can be seen that the program is available with a wide range of resources accessible to the user independently or interdependently with respect to the inputs to reach the desired output. In one embodiment, this is tailored to the songwriter user and provides a number of references and dictionaries regarding which words and music to play to achieve the desired result. Programming of this type of program varies from programmer to programmer, and how to program this type of result will be readily apparent to those skilled in the art. The following details regarding the screen (computer screen or graphical user interface) results will now be described using one program to achieve this goal. Those skilled in the art have thus far reviewed the concepts of this document from the above description and will readily appreciate an embodiment of such concepts. With this information, many programs that achieve this concept can be easily created by computer programmers without undue experimentation. Accordingly, the following is provided by way of illustration and not limitation of the method and program of the present invention. While this disclosure involves a graphical user interface or screen with a given layout, those skilled in the art will understand that layouts and graphical user interfaces or screens that result in the same data being displayed, albeit in different formats. Easily understand that there are numerous modifications to The following is programmed using FILEMAKER PRO. FILEMAKER should not be used to arrive at programs that achieve the inventive aspects of the invention. This will be apparent to those skilled in the art. In summary, the following is intended for illustrative purposes only. Given the databases disclosed herein and the interactive means for correlating these databases, those skilled in the programming arts can create a variety of different programs to accomplish the objectives described herein. It is understood that it has all of the necessary tools.

  The programs and methods described below provide the user with an electronic creation process tool (e-CPT), the name used below to refer to the methods and programs of the present invention. The e-CPT acts as a storage for both production and audio information and accesses a large word and phrase database that is uniquely indexed.

  The disclosed e-CPT allows a person such as a songwriter to easily organize multiple lyrics, notes and melodies. e-CPT provides a place to remember all of a person's ideas and allows linking lyrics to specific melodies. Thus, users can share and create multiple creation projects in e-CPT. Further, the e-CPT can act as a stand-alone tool or can be connected to a network that can send to a central storage device whose ideas are categorized by the date and time entered. Therefore, the e-CPT expects a third party verification of the date and time that the idea was submitted.

  The e-CPT includes easily accessible reference tools, which are the aforementioned references and dictionaries. These reference tools have been completely created and / or greatly enhanced by the present invention and are more expensive than the current reference tools available. These tools are also linked together by the software of the system of the present invention. Reference tools are multiple dictionaries, rhymes, SOUND-ALIKES, head rhymes, pop cultures, rhyming phrases, SOUND-ALIEKS phrases, phrases, dictionaries, thesaurus and favorite databases. These reference tools can be further enhanced or modified by other databases and users. Using these reference tools, e-CPT provides a means to detect homonyms and to allow users to search for SOUND-ALIKES, which are phoneticly similar but not exact matches. provide. With the allody database, the user also finds words that are the complete allody of the search word, and words that are not complete but are similar in initial sound. For example, a search for the word “great” returns the formed word for “gr” and “g” and “gl”. The “g” and “gl” words start with a sound similar to “gr”. Therefore, the word “great” returns words such as “good”, “green”, and “grim”. The words contained in the e-CPT are words that can be detected by a dictionary, and are words that reflect icons of America and the world pop culture. The e-CPT also includes both a searchable word database and a phrase database. Phrases are detected in a phrase database consisting of rhyming phrases, SOUND-ALIKES phrases, and phrases. Phrase databases contain phrases that have been collected over the years from television, movies, magazines and books, as well as combinations and creations of the inventor's words here, as well as common clichés. Phrase dictionaries can be further improved by the user and add word combinations that include the user's wishes. When the user enters a word to be searched in the rhyming phrase dictionary, a phrase ending with the word that rhymes with the search word is provided. When the user searches for a word in the SOUND-ALIKES phrase dictionary, a phrase that ends with a word that sounds similar to the search word but does not have the same rhyme is displayed. When the user inputs a word to be searched in the phrase dictionary, a phrase including the search word is displayed. This combination of dictionaries as database resources, as well as the existence of these resources in a collected, interactive and accessible form is new. Because the presence of the first dictionary or the first computer accessible database provides a tool that has long been needed, the database combinations, database interactions, and database combinations and to access the database itself Provide the means.

  Referring now to FIG. 1, the e-CPT includes a software module 115, a database 111 and a file 113, all of which are stored in non-volatile memory 106 within the computer system 100. Computer system 100 also includes a processor 102 and volatile memory 104. The computer system 100 may be a laptop computer, a personal digital assistant, or may be another type of system that includes a processor 102, a volatile memory 104, and a non-volatile memory 106. The processor 102, volatile memory 104, and non-volatile memory 106 work together and the user can access the software module 115, which also accesses the database 111 and file 113.

Referring now to FIG. 2, the software module 115 of FIG. 1 is shown as comprising a search engine module 121, a notebook module 123, a song information management module (SIM) 125, an audio module 127, and a Songard _TM module 128. Yes. The SIM 125 allows the user to create, modify and store lyrics, ideas and / or poems created by the user. The SIM 125 also includes files that are accessed by the audio module 127. The audio module 127 is for capturing, recording and playing back all songs, melodies and sounds desired by the user. This includes sounds and music created by the user and sounds and music not created by the user. As a result, the user can capture, record and play music, sounds, and the like that can be associated with the lyrics of the song stored in the SIM 125. Users can therefore create their own sounds and connect them with their own words. A collection of MIDI drum loops that can be played by a MIDI drum loop player is included in the audio module 127. The user can select one of the MIDI drum loops according to style, type and tempo. Audio module 127 may also include other sounds such as horns, bird calls and songs. The notebook module 123 can be used by a user to create a unique knowledge base that can also be accessed by the SIM 125. Notebook module 123 allows the user to enter, store and retrieve information entered separately by the user. These can be notes, photos, downloads, etc. created by the user. The notebook module 123 preferably has a search and classification engine associated with it. The Soundguard module 128 provides a creation date registration service that allows a writer to register lyrics, melody, and writer information stored in the SIM 125. The search engine module 121 allows the user to access the database 111 including the above dictionary and the file 113 included in the nonvolatile memory 106 shown in FIG. Information detected by the search engine module 121 from the database 111 and the file 113 can be transferred to the SIM 125.

To describe these modules in more detail, reference is made to SIM 125 and its various components in FIG.
(Song Information Management Module (SIM))

  In order to better understand the following description, the reader should understand that once the subject program is opened, the word to be searched can be searched in dictionary mode or SIM mode. The SIM mode accesses the dictionary mode, but the dictionary mode does not access the SIM mode. Therefore, if you just want to use this system as a means of accessing various dictionaries and references rather than writing songs and poems with this system, you can use any of the buttons such as rhymes, SOUND-ALIKES, cadres and favorites. Clicking on one will simply use the system reference. For example, enter the word “jam” in the search field on the screen as shown in FIG. 5, all of which click on one of the rhymes, rhyming phrases, phrases, etc. in the top bar of FIG. It will then be output to the main part of the screen for the word. In the case of rhymes, all words that rhyme with the word “jam” appear. In the case of phrases, all phrases that contain the word “jam” appear. Anyone who writes something can use the subject program in this way.

  However, the person trying to write the lyrics will most likely enter the song information management module or SIM described above. FIGS. 5, 8 and 43 are screens on which the user has done so. By using the SIM, the user writes the lyrics and drafts the lyrics known as “sketch”. If the user needs to find a word for one of these lyrics and one of the words in the sketch, the user clicks on that word in the lyrics or sketch, then clicks on a rhyme, rhythm, etc., from SIM mode Access references and dictionaries. The words “collected” from the search are stored in a collection part of the program that can be viewed and accessed in SIM mode. Also, if FIG. 43 is described in this document, the above information is redisplayed.

  The SIM 125 is an area where the user accesses personally input ideas including lyrics, notes and melodies. The SIM 125 also allows the user to access both the information selected by the user during the search of the database 111 of FIG. 1 and the information stored by the audio module 127 of FIG. The SIM 125 is a software module that is optimized for songwriters so that the user can create and access various components related to songs and tasks. FIG. 3 shows that the SIM 125 of FIG. 2 includes a song list 141, a SIM word processor 142, and a song file 144. The song list 141, the SIM word processor 142, and the song file 144 work together to allow the user to create, store, and modify multiple different songs.

  The song list 141 of FIG. 3 includes an entry for each song or record written by the user. FIG. 5 shows an example of a graphical user interface or screen displaying the song list 141 of FIG. These are all songs that the user has created or is creating (lyrics and sketches, or at least the title of the song that the user is trying to write). The song list displayed in FIG. 5 includes demo song 1, demo song 2 and demo song 3. From left to right, this is the “song title”, description, V # (version #), and the group of groups assigned to the song if the user chooses to assign it to a group. The row shown is in the main part of this graphical user interface which is divided for this selection. Above these columns are a scroll arrow 121, a search entry 302 and field, a type entry 304, and a group entry 306. These items are further described in the following paragraphs. This line is then tapped by a selection button including song list 310, file 320, sketch 330, split 340, collection 350, audio 360 and song information 370. These options repeat themselves for most of the screens that follow for the SIM. Above these buttons are menu choices that include song 210, rhyme, rhyming phrase, phrase, rhyme, pop culture, dictionary, thesaurus and notebook. All of these menu items are familiar to the reader because they represent the dictionary / reference already detailed, and are further addressed because additional screens are shown.

  Note that in FIG. 5, song 210 is in SIM mode because it is highlighted. Note further that the song list is being viewed because the button 310 is clicked and highlighted. The list shows that the names of three songs, demo song 1, demo song 2 and demo song 3, have been entered. These names are displayed on the screen. The user need only click on one of these songs to see the lyrics entered, if any. In FIG. 5, region group 306 shows all songs to read “none” (selected using the selection scroll arrow next to group 306). If SG4 is selected instead using the selection scroll next to group 306, only SG4's song is shown. To create a new song, the user clicks on “New Song” in the second row of options in FIG. A blank screen appears. Reference is now made to FIG. On this screen, the user has already entered the title of this new song, “Demo Song 1”. The user has also entered the lyrics of the song “ends don't meet with just one job”. Next, when the user clicks on “Song List”, the user sees Demo Song 1 in the song list as seen in FIG. If the user determines that the song is good, the user simply clicks demo song 1 and clicks the “Delete” button, which is the button next to the new song button in the second row of FIG. The lyrics entered by the user for the song can be changed like a word processing program. Thus, returning to FIG. 8, if the user does not like some of the lyrics, those lyrics can be changed as in the word processing state. If the user needs help in the lower right corner of the screen of FIGS. 5 and 8, what is the user? Clicking the key opens help on the page that should handle the screen the user is using. In FIG. 8, it is a song split screen. FIG. 5 shows a song list screen. If the user wants to move to another area of help, there is a table of help content buttons for guiding the user to an index for selecting another viewing area. All this is covered in more detail in the following paragraphs. The help information is fully shown in the appendix attached here. It is especially special with this help that the user automatically opens on the screen where the user is and if the user wants to change the clean, the help page will track the user's movement by changing on the screen. Once the user performs a new song task, the user can simply switch to another problem. New songs are automatically saved.

  Each song file 144 stored in the SIM 125 of FIG. 2 is preferably an individual record created by the user. Each individual record comprises any of the items shown in FIG. 4, such as a lyrics file 143, a sketch file 145, a collection word and phrase file 147, a selected audio track file 148 and a song information file 149. All of these are further explained in this document.

  In one embodiment seen in FIG. 5, the search engine module 121 of FIG. 2 preferably accesses the song file 144 and song list 141 of FIG. Here, the song button 210, the song file 144 and the song list 141 of FIG. 3 are shown by clicking the above buttons. Further considering FIG. 5, the user can enter a word or phrase in the search field 302. The user can also select a plurality of different fields from the type 304 pull-down menu to search for words or phrases entered in the search field 302. The type 304 pull-down menu fields are song title, lyrics, sketch, lyrics and sketch, writer, publisher, style, song note, audio note, song and audio note, creation date. For this information, the writer can't remember the name of the song, but remembers a lyric phrase. Then, the user can input the phrase that he / she remembered into the search field 302 and select “lyric” from the type 304 pull-down menu. The result is a song title that includes the phrase. Furthermore, if a song is created, it can be assigned by a user to a particular group such as SG-01, SG-02, etc. as seen in FIG. 5 and described above. Thus, songs in the song list 310 can also be filtered according to the group by selecting the group displayed from the group 306 button. Accordingly, when the title of the song to be written is selected, a song group such as SG01 is assigned. If you want to give a title to this group, such as “Jazz”, hovering over the song group gives you the option to edit that field. Accordingly, in FIG. 5, demo song 2 is categorized in SG 02 after demo song 2 in the “group” column. When the mouse is placed on SG02 and clicked, the user is given the option of editing the names of all song groups, thus identifying the desired group such as “Jazz”. To assign a song group to a song, a button in the song list 310 as shown in FIG. 5 may be clicked. Then move your mouse over the “Group” column and place it on the line about the song in question. Therefore, as shown in FIG. 5, SG02 has demo song 2. However, if you want to place the song in SG03, you can click on the mouse and place it in SG02 on the opposite side of demo song 2, giving you the option to change or create a song group other than SG02.

  Returning to FIG. 4, the lyrics file 143 is a collection of files, each file containing the lyrics of a given song. These are the lyrics that the user entered into the program under the name of the song. The user can select a song from the song list 141 of FIG. 3 by preferably double clicking on a song such as demo song 1 shown in FIG. The lyrics of the selected song can be displayed using the SIM word processor 142 of FIG. As described above, FIG. 8 illustrates this. The same applies to FIG. 6, which shows an example of a graphical user interface display or screen when the user clicks or selects lyrics 320 after clicking demo song 1 from FIG. By selecting the lyrics button 320, the user is provided with a place where he can type lyrics for a given song using the SIM word processor 142 of FIG. Alternatively, the lyrics may be poetry or other work.

  The sketch file 145 of FIG. 4 is a collection of files, and each file includes lyrics and ideas that are different from the main idea and lyrics of the song. The user can preferably select a song from the song list 141 of FIG. 3 by double-clicking the song shown in FIG. A sketch of the selected song can be displayed using the SIM word processor 142 of FIG. 3 by clicking on the sketch button 330. See FIG. FIG. 7 shows an example of a graphical user interface display when the user selects the sketch button 330 after selecting the demo song 1 from FIG. A second verse is shown in FIG. 7 to clarify what the reader is browsing. The user has not determined that this second verse is really what he wants, so this second verse is placed in the sketch file at the user's choice and about another second verse that can be created. Make further modifications or comparisons. In FIG. 6, there is a first poem, chorus and base. The user has determined that these are preferable and places them in the lyrics file 143. Of course, both the lyrics file 143 and the sketch file 145 can be modified by the user to change the displayed final product. Both are run by a word processing program for sketch and lyrics entries.

  Returning to FIG. 8, it shows how the user may wish to select a split region 340 to display both lyrics and sketches for a given song. The SIM word processor 142 allows the user to access both the lyrics file 143 and the sketch file 145 simultaneously. The split button 340 displays both song lyrics and sketches in a split screen, allowing the user to view both and select the best word from the two areas. Thus, FIG. 8 shows the lyrics and sketches seen separately in FIGS.

  Referring now to the collected word and phrase file 147 of FIG. 4, these include words and phrases that the user has collected from the database 111 of FIG. 2 by the search engine module 121 of FIG. In addition, these collected word and phrase files 147 are associated with a particular song by the user. The description of the collection and display process will be further discussed following the description of database 111 and search engine module 121. However, in the first paragraph of this section, this book already explains how the SIM accesses the dictionary to assist the user in writing lyrics and sketches and places the words selected and accessed from the dictionary in the program's collection area. Suggest this situation when you do. Collected words are also placed in your favorite dictionary so that they will become clear as you read further. As a short introduction, the reader goes to FIG. This figure shows that the “Collect” 350 button has been selected and the program is running on “Song” 210. The screen is divided into an upper part and a lower part. The lyrics that can also be seen in FIG. 6 are at the top. Collected words, “slaughter”, “sea otter” and “globrotter” are at the bottom. These are the words that the user clicked when searching the rhyme dictionary for the word “water” using the program. If the term “water” does not appear in the lyrics, the user still searches for this word while considering the song in the lyrics. Therefore, in FIG. 43, the user has gone to the song list screen as shown in FIG. The user clicks on the song “They can't take that way” (not shown in FIG. 5), clicks the “collect” 350 button, and comes to a screen very similar to that of FIG. . However, when entering FIG. 43 for the first time, it provides the lyrics and search (on the left side of the screen) with the word “water” below it. Also, the “Rhyme” button under the title “Collecting Category” is highlighted, indicating that the user has already searched for rhyme for the word “water”. The user then clicks on the word “water” in the lower section of the screen, the word that the user finds most interesting in the rhyme section, and the double clicked word is shown in that lower section. These words are “slaughter”, “sea otter”, and the like.

  Take a step back and look at the whole problem from the beginning for the reader's understanding. The user opens the program described here and clicks “New Song”. There, the user enters a title (e.g., “The Can't Take That Away”) in the title field. The user can then immediately start typing the lyrics on the lower screen, or click “Sketch” to type the suggested lyrics on that screen. At the time of lyric entry, the user probably has a single line “life is like water” or simply wants to search for the word “water”. The user needs some words that rhyme with “water” and does not like the words that come to mind. The user clicks the “Rhyme” button on the top menu button next to the “Song” 210 button and enters the search word “water” or the word “water” in the line “life is like water” on the sketch screen. Select a number of words after double-clicking or clicking the “Rhyme” button. The selected rhyming words are “slaughter”, “sea otter”, and “globe rotter”. The user then clicks on “Song List” again. The song “The Can't Take That Away” is shown. The user clicks on the song and then clicks the “collect” button. A screen like FIG. 43 opens with “Rhymes” under the highlighted collection category. The user clicks on the rhyme and the word “water” appears under the header “Search” on the left side of the screen. The user then clicks “water” to get the words “slaughter”, “sea otter” and “globe rotter” collected at the bottom of the screen.

  The song information file 149 of FIG. 4 will be described in further detail with reference to FIG. The song information file 149 is further divided into subcategories, a song flag 1491, a recording 149-2, and an issue 149-3. The song flag subcategory 149-1 can include information useful in categorizing songs. FIG. 10 shows an example of a graphical user interface in which the song flag subcategory 149-1 is highlighted or clicked. To go to this screen, click on the song information 370. Once this is done, the screen of FIG. 10 is accomplished with the highlighted “Song Flag” 149-1. The screen includes description, style, status, creation date, last work date, duplicate, key, time signature (T / S), length 9 (00:00), beat / minute (BPM), song notes, etc. Provide possible information. In the status field, information about the current status regarding the completion of the song can be stored. Note that in FIG. 10, the status is shown as “Demo Required”. In the key field, information about the keys proposed for the song can be stored. The song note area is shared and displayed among the song flag subcategory 149-1, recording subcategory 149-2 and published subcategory 149-3 of FIG. 9, as seen in FIGS.

  FIG. 11 shows an example of a graphical user interface displayed by clicking the song flag recording 149-2 of FIG. For the recording subcategory 149-2, in addition to the song notes that appear for the song flag 149-1, you can find information useful for categorizing the recording of the song, including media type, track information or ID information, and information about the comment area. It is done.

FIG. 12 shows an example of a graphical user interface in which the issue subcategory 149-3 of FIG. 9 is clicked. It contains important information for songwriters regarding publishing songs, such as writer and publishing information, percentages and performance societies. This allows the writer to keep track of creative information about the song as well as some practical information. Note that the song notes from song flag 149-1 are still shown.
(Audio module)

  Returning to FIG. 4, the selected audio track 148 is also included as a subset of the song file 144 included in the SIM 125. Recall that the audio module 127 of FIG. 2 accesses the SIM 125. This is via an audio track file 148. The selected audio track file 148 of FIG. 4 has been created, modified and stored by the audio module 127 of FIG. As shown in FIG. 13, the audio module 127 includes an audio recorder 151 and a MIDI drum loop player 153. Aspects such as bird calls and violins may also be provided. The audio recorder 151 is preferably a stereo digital hard disk audio recorder 151 with basic recording and playback characteristics. The controls of the audio recorder 151 are shown in FIG. 14 as buttons that are clickable and similar in appearance to record, play, pause, stop and rewind, etc. found on a basic recording device. To access the screen of FIG. 14, an audio tab or button 460 has been clicked. FIG. 14 has a top menu with rows containing songs, rhymes, etc. found in the previous screen view, below which are also “Song List” and “Lyrics” also seen in the previous screen view. There is a button. However, below this area is a mock audio recorder with lines of time, size, volume, loop, forward and back arrows, loop, save and record. Below that, there is a maker line, which will be described later, that fills the part for selecting marker, clear, save edit, and In and out. Below that is a row of MIDI drum loops. It has selectable input space, tempo, volume, loop and forward arrows. Below this is the main part of the screen which has a description area, a song length area and a comment area. This is followed by the bottom of the audio note.

  Returning to the substance of what the screen of FIG. 14 represents, the audio recorder 151 allows the user to record audio material with an external or internal computer microphone, and once the material has been recorded, it can be played back. The user may also incorporate external audio files including but not limited to MP3, AIFE, WAV and Quicktime. The advantage of the audio recorder 151 is that the recorded material is stored as a separate audio file in the selected audio track 148 of FIG. This allows the user to associate an individual audio file with the individual song to which it belongs. In FIG. 14, it should be noted that demo song 1 appears in the title part and is related to the material below it.

  In addition to the normal playback mode of the audio recorder 151, the user can utilize the markers to select specific in and out points to play a specific area of the song. Therefore, using the loop function, the user can select a section of the audio recording and continuously reproduce it. All of these options with “marker” rows including “In” and “Out” points can be seen in FIG. 14 as described above. The marked point is also identified next to the selection marker as “second verse by bridge”. The display area, the main part of the screen cued by the words “description”, “length” and “comment”, can be used to organize the number of tracks recorded according to the appropriate information. In FIG. 14, the reader will see that three melodies are being considered, where the second melody is shown to need to “slightly refine”. As noted, these all have lyrics and sketches associated with them and are associated with demo song 1 that was created to exist.

  The MIDI drum loop player 153 shown in FIG. 14 and also shown in FIG. 13 allows the user to play a selectable collection of MIDI drum loops according to the desired style, type and tempo. Songwriters will find the use of MIDI drum loops 153 particularly useful when trying to create “groove” or musical-like types for songs they are composing.

  Stereo tracks may be added to the selected audio track 148 of FIG. Then, the user can play back the audio track selected from the selected audio track 148 using the MIDI drum loop player 153. This allows the user to record his voice according to the selected audio track being played by the MIDI drum loop player using the audio recorder. Therefore, the user can record music according to the lyrics and actually get a feeling of singing.

Also, the operation of FIG. 14 is easily performed by those skilled in the art using current technology.
(Notebook module)

  The notebook module 123 will now be described with reference again to FIG. The notebook module 123 is an optional software module, and is an area where a category can be created and a user can enumerate desired information. The notebook module is intended as a means for recording user thoughts and ideas. Very often this is written with notes, whereas graphics, photographs and sounds etc. are also written. FIG. 15 shows an example of a screen or graphical user interface that can be used to click the notebook button or tab 290 to access the notebook module 123 of FIG. As shown in FIG. 15, the notebook module 123 of FIG. 2 includes a subject area, an organization purpose explanation area, and a notebook section. The margin at the bottom lists “current song”. In this example, “demo song 2” is shown next to this entry. (In the previous screen, the bottom margin listed "Current Song Group" and was very often identified as "None" when a song group was assigned to the song.) Regarding 2. Of course, it is within the intent of this document that the notebook can be searched and stored regardless of the song in which the entry was made. So if you're in Prague and taking a regular note, that note will be assigned as a "Prague note", and if you use the memory function, you will probably be assigned a Prague entry by entering an overseas country. .

As will become apparent, the notebook module 123 of FIG. 2 is a storage location for ideas. For example, a user tries to write a local characteristic song or poem. Thus, the user goes to the city with a laptop and observes restaurants, street names, and other prominent buildings. The user can then click on the notebook button 290 in FIG. 15 and write down the name of interest. You may take photos of these locations, record these locations, download information about these locations, all of which can be entered into the notebook, and the classification and search functions are It is intended to better access the information in this notebook as well as the association of the notebook entry with a particular song.
(Songguard _TM module)

Songard _™ is an online creation date registration service. The Soundguard module allows the user to register lyrics, audio recordings, writer and publisher information by an online storage company via an online transmission that is validated with a digital signature and digitally dated Can do. This information is stored and made available when the user needs it. Upon receipt of this transmission, a confirmation is sent to the user. This procedure selects the lyrics file 143 of FIG. 4 and / or the sketch file 145 of FIG. 4, selects the audio track that the user wants to send from the selected audio track file 148 of FIG. 4, and places these files on the network. To the main data storage area. Writer and issuer information is sent automatically. FIG. 16 shows an example of a graphical user interface that can be used to allow the user to select lyrics, sketches and audio files for transmission to a remote main data storage area on the network. Note that both the lyrics and sketch boxes are checked under the word "Done" and the selected audio button is highlighted. It should also be noted that the Songguard button 440 has been clicked. The user sends a copy of the lyrics of demo song 1, a sketch and an audio track via the SONGUARD program. The transmission has been confirmed as received by the date of December 6, 2002, which appears on the screen, as seen in FIG. The selected file is imprinted with a digital signature and digital time stamp before being sent to the remote main data storage area.
(Overview of database)

  Then, as will be apparent to the reader, the program can search for words in various databases separately from or through the writing of sentences and the highlighting of words in those sentences. These databases holding dictionaries and references and filters used with these databases to select specific elements from these will now be described.

  Referring again to FIGS. 1 and 2, the search engine module 121 preferably includes a graphical user interface that allows a user to search the database 111 of reference tools and dictionaries already shown in this document. A writer can use these tools to find the best word to complete a song or task. FIG. 17 shows the configuration of the database 111. There it can be seen that the database 111 comprises a number of reference tools such as a word database 131, a phrase database 133, a thesaurus 136, a reference dictionary 137, and a favorites database 139. Those skilled in the art will appreciate that there are a number of additional reference tools that can be added to or substituted for the set of databases 111 provided in FIG. Some such databases may be mathematical formulas, scientific conversations, colors, etc. about the color wheel. The relationship between these databases 111 will be further examined with reference to FIGS. However, referring to FIGS. 18 and 19, it can be seen that rhyme dictionaries 131-1, 133-1 and SOUND-ALIKES 131-2, 133-2 are both sub-databases of word database 131 and phrase database 133. The pop culture 131-4 and the head rhyme 131-4 are also sub-databases of the word database 131, and the phrase 133-3 is a sub-database of the phrase database 133. Therefore, the search of the word database 131 also searches all of the sub-databases related to that shown in FIG. The search of the phrase database 133 also searches all of the sub-databases related to that shown in FIG.

FIG. 20 is a flowchart of a word search method. FIG. 21 is another graphical user interface or screen. It is the type of screen that can be used when searching the database for the word “water”, as seen in the search word for that drawing. In FIG. 21, this is done in conjunction with the SIM module. In FIG. 21, it should be noted that the top menu bar 205 and the bottom bar 202 parallel the information on the previous screen. In FIG. 21, the bottom bar refers to the current song which is demo song 1. The remainder of the screen includes a search line 221 for entering the word being searched and a syllable indicator 222 that highlights the syllable shown in the result. Under this search line, the screen is small on the side containing rhyme filters (all 224a, primary 224b, secondary 224c, pop culture 224d, and favorites 224e), pronunciation method 234, and buttons for SOUND-ALIKES 236 words. Divided into main or primary 201 parts with sections. The main part 201 of the screen shows the detected word. These sections are described further below.
(Query)

  Upon further review of FIGS. 20 and 21, the reader will see that words are entered into the search field. In FIG. 21, the word is “water”. Next, referring to FIG. 20 and FIG. 2, the search engine module 121 of FIG. 2 queries the word database 131 of FIG. 17 and checks whether the search word “water” is in the database. If present, it has an identification number or serial number ID. The search engine module 121 uses the serial number ID 901 of FIG. 20 assigned to the text string “water” in the database of the entry. Since 901 is linked to the rhyme group IDs 20a and 20b, the rhyme 131-1, the head rhyme 131-3, etc., this can be clearly seen in FIG. However, in one embodiment, the search engine module 121 of FIG. 2 searches for entries in the reference dictionary 137 and thesaurus 138 of FIG. 17 using text strings rather than ID numbers. This is because a counter thesaurus and a dictionary have been input and have words not found in other dictionaries or references. These words are not assigned ID numbers. This is shown in FIG. 20, where the dictionary and thesaurus are searched separately using “search words”, while the other databases are searched separately using “serial number ID” 901. Has been searched. Those skilled in the art will appreciate that the use of serial number ID 901 will result in faster response times because number searches are generally faster than text string searches. Thus, database word assignment results in a faster system. Accordingly, those skilled in the art will also appreciate that modifying the counter databases to include ID numbers facilitates searching these databases. As can be seen from FIG. 20, the serial number ID 901 is directly linked to the rhyme 131-1, the rhyme group ID 20a, the head rhyme 131-3, the rhyme phrase 133-1, and the phrase 133-3. Those skilled in the art will see the pop culture database 131-4 as a separate database, while the words associated with the pop culture are also the rhyme database 131-1, the SOUND-ALIKES database 131-2 and the nymph database 131-3. Understand what is included.

The search engine module 121 preferably searches each database. If the database does not contain valid results, the user is preferably notified by the next icon indication in the database. In one embodiment shown in FIG. 45, a red ellipse with a minus sign 451 is displayed to inform the user that the dictionary has no results for the current search text. The reader will notice that in FIG. 45, the notification feature is in the top menu next to the rhyme and phrase buttons. This saves the user time by allowing the user to quickly see if there is a result without having to select each database to determine if the result has been found. For clarity, consider FIG. 45 quickly. It shows the screen where the rhyme database in the top menu bar is highlighted. All SOUND-ALIKES and + homonyms in the left bar area are also checked to output the word that the user considers. These words begin with “aqua” and “armada”. The word entered in the search field is “Frank Sintra”. Words such as “baba”, “Prada”, “Mazda” are in the main part of the screen that is not restricted to the same rhyme and SOUND-ALIKES. This list includes rhymes and SOUND-ALIKES words “aqua”, “armada” and “casaba”.
(Word database)

Returning to FIG. 17, the word database 131 is designed to have a large word collection. One challenge of providing a large word collection is to provide users with quick response times to a variety of different types of queries. In FIG. 18, the word database 131 of FIG. 17 is actually divided into four separate databases, a rhyme database 131-1, a SOUND-ALIKES database 131-2, a phalanx database 131-3, and a pop culture database 131-4. It shows how the reader imagines that it is. The pop culture database 131-4 is a word collection reflecting icons of pop cultures in the United States and the world. Returning to FIG. 20, one can see an example of a plurality of IDs associated with each word of the rhyme database 131-1, the SOUND-ALIKES database 131-2, the cadaver database 131-3, and the pop culture database 131-4. it can. Each ID, such as 20, 25, and 30, 71, 73, enables the search engine module 121 of FIG. 2 to quickly find, classify, and display words that match a given query. These IDs will be further described while continuing the review of FIGS.
(Rhyme database)

  The search of the rhyme database 131-1 displays the same rhyme of the word being searched. Returning to FIG. 20, the reader proceeds to rhyme group ID 20, which is a unique number assigned to a unique rhyme group. Rhyme groups consist of words that are grouped together by their pronunciation. These are also known as rhymes. Because the words “water”, “daughter” and “Harry Potter” are rhymes. They belong to the same rhyme group and therefore have the same rhyme group ID, ID20.

  FIG. 21 shows an example of a graphical user interface screen for the rhyme database 131-1 of FIG. In FIG. 21, the rhyme button 220 is selected from the menu bar 205. By clicking the rhyme button 220, the user can search for the rhyme in the rhyme database 131-1 of FIG. 18 using the search engine module 121 of FIG. The user enters a search word in the search field 221 and starts the search. In FIG. 21, the word is “water”. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 in FIG. 2 searches the rhyme database 131-1 for the rhyme group ID and ID 20 in FIG. 20 to check whether or not the current search word belongs to the rhyme group. . If the word does not have a serial number ID, the system must be programmed to accommodate it. If the current search word belongs to the rhyme group, the search engine module 121 detects all words in the rhyme database 131-1 having the same rhyme group ID and ID 20 as the current search word, and makes the word available to the user. In order to display, the main display window 201 of FIG. 21 is prepared. Accordingly, the main display window 201 for the search for the word “water” includes words such as “blotter”, “yachter”, “boycotter”, and “Alma Matter”. (Note that when searching for terms, the system also searches for SOUND-ALIKES words that are not homologous words. In the search for “water”, these can be found in the sidebar section 236 of FIG. If the user clicks on “All SOUND-ALIKES” 236a, the main screen changes to show all similar rhyming words, and if the user also clicks on + Symphonic 236b, the main part of the screen is the same rhyme word, (Indicates both SOUND-ALIKES words.)

  Other rhyme dictionaries are sorted first by syllable and then alphabetically. However, rhymes are based on pronunciation from right to left. In addition, the alphabetical classification of rhymes is the opposite of the definition of rhymes. The rhyme database is classified here from right to left. The words of the rhyme database 131-1 shown in FIGS. 18 and 20 are pre-classified and are assigned the rhyme classification ID 30 of FIG. 20 to speed up the classification process and the words are displayed in a special phonetic classification order. It becomes possible. A special phonetic order creates a rhyme group in the main list of rhymes. The speech classification order algorithm first classifies words by syllables. All syllable words are grouped and displayed in alphabetical order. Next, the two syllable words are classified by the sound of syllable 1. The two syllable words are further classified alphabetically by the consonant of syllable 1. The three syllable words are sorted alphabetically by syllable 1 sound, then by syllable 2 sound, then by syllable 1 consonant. Words of four or more syllables are sorted alphabetically by syllable 1, then by syllable 2, then by syllable 3, and by the next consonant of syllable 1. The words displayed in FIG. 21 indicate this special speech classification order.

  In FIG. 21, the search word “water” displays the words that rhyme with this word according to a special classification order in which all the words of one syllable are first arranged in alphabetical order. In the case of water, there is no single syllable word that rhymes with water. A special sort order displays two syllable words based on the sound of syllable 1. This is a list of two-syllable words displayed in the main display window 201 starting with “blotter” and ending with “yachter”. All of the words from “blotter” to “yachter” share the same syllable 1 note “a”. Since they all have the same syllable 1 sound, they are then sorted alphabetically.

  Looking at the three-syllable word displayed in FIG. 21, the special speech classification order can be clearly seen. The first three-syllable word listed is “breakwater” followed by rainwater, wastewater and backwater. In conventional or alphabetical sort order, these words are listed first with breakwater. However, the three syllable words are first classified by the sound of syllable 1. Breakwater syllable 1 is “long a”, rainwater syllable 1 is “long a”, wastewater syllable 1 is “long a”, backwater syllable 1 The sound is “short a”. Therefore, since they have the same first syllable sound, breakwater, rainwater and wastewater are grouped together. breakwater, rainwater and wastewater have the same second syllable sound. Breakwater syllable 1 consonant is “br”, rainwater syllable 1 consonant is “r”, and wastewater syllable 1 consonant is “w”. The words are then classified by syllable 1 consonants. Thus, breakwater will be separated from backwater by the words rainwater and wastewater. Thus, the words are organized in a unique way that makes it easier for the user to find the word that best completes his poem or lyrics.

  The search engine module 121 of FIG. 2 not only displays the rhyming words in the current search word, but the search engine module 121 also automatically suggests the word that the user wants to search in addition to the current search word. ing. Returning to FIG. 20, the search engine module 121 checks the alternative pronunciation ID 25 to determine whether the current search word has another pronunciation. However, the word “water” does not exist at all, and is therefore indicated as none in the alternative pronunciation 234 of FIG.

  Two examples where words have different pronunciations are: First, the words are spelled the same but are pronounced in two different ways. For example, the word “tear” can be pronounced with the pronunciation “ear” or the pronunciation “air”. Therefore, the rhyme being searched by the user depends on the pronunciation method of the word. In the second case where the word has a different pronunciation, it is whether the word has a slang pronunciation. For example, the word “making” is pronounced “maa-king”, but if “g” is replaced with an apostrophe, the word is “makin ′” pronounced “maa-kuhn”. Therefore, other rhymes can be provided to the user using the current search word slang. One skilled in the art understands that the display of alternative slang pronunciation greatly increases the words available to the user.

  FIG. 22 shows a state in which another pronunciation is displayed in the alternative pronunciation window 234. The current search word is “tea”. The word “tear” has two pronunciations, i) pronunciation of a short note “e” which is a verb meaning tearing, and ii) pronunciation of a short note “i” which is a noun meaning tears from the eyes. When the user inputs the word “tear”, the search engine module 121 of FIG. 2 firstly displays “air”, “bare”, “their”, “Pierre”, and “Pierre”, as shown in the main display window 201 of FIG. The rhyme database 131-1 shown in FIG. 18 is replied with a word that rhymes in one of a plurality of pronunciations of the word “tea”, such as “wheelchair”. The user selects a word in the alternative pronunciation window 224, and the search engine module 121 in FIG. 2 returns a word that matches the second pronunciation from the rhyme database 131-1 in FIG. FIG. 23 shows words that rhyme with the second pronunciation of the word “tear”, such as beer, tier, weer, and New Year.

  The user can change the word displayed when using the rhyme database by clicking the button 220. This is due to the large number of filters, and FIG. 21 is also referenced to browse those filters in numerical order. One set of filters is a rhyme category filter 224. In FIG. 21, the rhyme category filter 224 includes all 224a, primary 224b, secondary 224c, pop culture 224d, and favorite 224e options. When the option of the primary 224b is selected, the search engine module 121 of FIG. 2 looks at the category ID 19 of FIG. 20 of the detected rhyme and displays all rhymes whose category ID 19 is primary. The word returned as primary is a more common rhyme subset in everyday conversation. Each word of the e-CPT is grouped into at least one of three categories: primary, secondary and pop culture. In FIG. 24, the current search word is “water” and the option primary 224b is selected by the word of all selected syllables. The result displayed in the main display window 201 of FIG. 24 includes words such as “daughter”, “otter”, and “notter”. It should be noted that SOUND-ALIKES is also shown in the side window in the figure. This is automatic. If the entered word is a SOUND ALIKE word, that word appears in the SOUND-ALIKES column on the left side of the screen. In FIG. 24, these words are “broader”, “coder” and “cooler”.

  FIG. 25 shows a result when the user selects the rhyme category filter option secondary 224c. The search engine module 121 of FIG. 2 looks at the category ID 19 of FIG. 20 of the collected rhymes and returns all rhymes whose category ID 19 is secondary. The word returned as secondary is a less commonly used subset of words. In FIG. 25, the current search word is “water”, and the option secondary 224c is selected. The result displayed in the main display window 201 of FIG. 25 includes words such as potter, dishwater, and garrotter. Again, the SOUND ALIKE word is also shown.

  FIG. 26 shows a result when the user selects the rhyme category filter pop culture 224d with the search word “water”. The search engine module 121 of FIG. 2 sees the category ID 19 of FIG. 20 and returns all rhymes whose category ID 19 is a pop culture. The result displayed in the main display window 201 of FIG. 26 includes words such as Harry Potter and The Sweetwater.

  There are one or more favorite rhyme category filters. The favorite filter 224e in FIG. 21 displays the favorites collected by the user. A description of this filter follows the section describing rhyme and phrase collection. However, since it is in the rhyme database, when the favorite word is clicked on the search word “water”, only the word rhyme with “water” is displayed from the favorite.

Another provided filter is a syllable filter 222 as shown in FIG. The syllable filter allows the user to only display words with the required number of syllables in the main display window 201. Thus, if the user wants to see only two syllable words, when the user selects 2 from the syllable filter, only the two syllable words rhyme with the current search word are shown.
(SOUND-ALIKES database)

  By searching the SOUND-ALIKES database, rhymes that are similar to the word being searched but are not the same are displayed. Returning to FIG. 20, the reader goes to SOUND-ALIKES ID 40, which is a unique number assigned to a unique SOUND-ALIKES group. The SOUND-ALIKES group may include two or more rhyme groups. SOUND-ALIKES is a word that is similar to a search word, but is not the same as the search word. For example, the words “bopper”, “chopper”, and “pauper” all appear to be similar to “water”, but they are not synonymous with “water”. However, “hopper”, “chopper” and “pauper” all belong to the same rhyme group. The SOUND-ALIKES ID 40 can be used by the search engine module 121 of FIG. 2 to determine the SOUND-ALIKES group to which the current search word belongs (if any).

  In addition to the SOUND-ALIKES ID 40 check of FIG. 20, the search engine module 121 of FIG. 2 also checks the EEE group ID 43 and the EEZE group ID 45, and the current search word has a corresponding EEE group or EEZE group. Check whether there is any. The EEE group is a special type of the SOUND-ALIKES group. According to conventional rhymes, the words “tree” and “reality” are not rhymes. However, in songwriting, these words are both effective. When the user searches for SOUND-ALIKES for the word “tree”, there are more than 4000 SOUND-ALIKES. These words are typically three or more syllables ending with a hard “e” note. Examples include abilities, utilities, societies, and responses. Therefore, the EEE group ID 43 is a means for dividing a large number of SOUND-ALIKES by this sound. The EEZE group contains a plurality of words found in the EEE group. FIG. 46 is a diagram showing a state in which an EEE group is shown. Words up to 3 syllables are shown. Focusing on the third syllable for the search for the word “tree”, the main part of the screen contains words such as “shadly”, “bakery”, “agony” and “carefully”. The screen display of the side section for SOUND-ALIKES advises the user that the EEE group has been searched and that clicking on the entry will detect the SOUND-ALIKE word shown in FIG. FIG. 47 is a diagram showing a state in which the EEZE group is shown. It contains words such as “blasphemies”, “bakeries”, and “agencies”. The searched word is “trees” focusing on the third syllable. Also, the side section of the screen under SOUND-ALIKES advises the user that the EEZE group has been searched and that clicking on that information will show the SOUND ALIKS word.

  FIG. 21 shows an example of a graphical user interface to the SOUND-ALIKS database 131-2 of FIG. To access the SOUND-ALIKES rhyme, the user clicks the rhyme button 220. The user then enters a search word into the search field 221 and starts the search. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 in FIG. 2 searches the rhyme group ID 20a in FIG. 20 to determine whether the word belongs to the rhyme group. Next, the search engine module 121 in FIG. 2 looks at the SOUND-ALIKES group ID 40 in FIG. 20 in the SOUND-ALIKES database 131-2 to check whether the rhyme group belongs to the SOUND-ALIKES group. Rhyme group keywords are assigned to each rhyme group in the SOUND-ALIKES group so that the user can select a rhyme group to be displayed.

  If the rhyme group belongs to the SOUND-ALIKES group, the search engine module 121 detects all other rhyme groups in the SOUND-ALIKES database 1312 having the same SOUND-ALIKES group ID 40 as the current rhyme group. In the SOUND-ALIKES display area 236, the rhyme group keyword is prepared for display to the user. Thus, for the search word “water”, the SOUND-ALIKES display area 236 includes words such as “broader”, “doctor”, “softer”, and “watcher”.

  Like the words in the rhyme database 131-1, the words in the SOUND-ALIKES database 131-2 are pre-classified, and the SOUND-ALIKES rhyme classification ID 31, EEE group classification ID, ID 32, or EEZE group classification ID, ID 33 is Assigned, speeds up the classification process and allows words to be displayed in a special phonetic sort order. A special voice classification order creates a SOUND-ALIKES group in the main list of SOUND-ALIKES. The speech classification order algorithm first classifies words by syllables. All one syllable words are grouped and displayed in alphabetical order. Next, the two syllable words are classified by the sound of syllable 2. In addition, 2-syllable words are classified by syllable 1 sounds. Further, the two syllable words are then sorted alphabetically by the consonant of syllable 1. Three syllable words are classified by syllable 3, then syllable 1, then syllable 2, then syllable 1 consonants, and then alphabetically. Words of 4 or more syllables are classified by the sound of syllable 4, then the sound of syllable 1, then the sound of syllable 2, then the sound of syllable 3, then the consonant of syllable 1, and then alphabetically. The words displayed in FIG. 28 indicate this special speech classification order.

  In FIG. 28, the current search word is “water”. The selected syllable is “all”. Without browsing the SOUND-ALIKES by keyword, the user can select and display all of the SOUND-ALIKES for the current search word detected by the search engine module 121 of FIG. FIG. 28 shows a result when the user checks all SOUND-ALIKES boxes 236a. When all SOUND-ALIKES boxes 236a are selected, all of the SOUND-ALIKES for the current search word are displayed in the main display window 201. As shown in FIG. 28, SOUND-ALIKES “broader” and “father” are displayed together with “shopper” and “pauper”. Those skilled in the art will recognize that if all SOUND-ALIKES boxes 236a are checked, all rhyme groups with the same SOUND-ALIKES ID 40 in FIG. 20 will be displayed, except for those that actually contain the current search word. You will understand.

  As described above, the words are displayed in FIG. 28 according to a special classification order in which all one syllable words are first arranged in alphabetical order. In the case of “water”, there is no single syllable word that is water and SOUND-ALIKS. The special classification order displays the syllable 2 sound first, then the syllable 1 sound, then the syllable 1 consonant, and then the two syllable words based on alphabetical order. This is a list of two syllable words displayed in the main display window 201 divided into a plurality of sublists. For example, the first sub-list starts with “bobber” and ends with “slobber”, whereas the second sub-list starts with “broader” and ends with “prodder”. All words in the first sub-list share the same syllable 2 sound “ber”, whereas all words in the second sub-list share the same syllable 2 sound “der”. ing. The words in each sublist are then ordered according to syllable 1 sounds, syllable 1 consonants, and alphabetical order. In the first sublist, all words share the same syllable 1 sound “short note a”. Since these all have the same syllable 1 sound, they are classified next by their consonant and alphabetical order. Thus, the words are organized in a unique way that facilitates the user to find the word that best completes their poem or lyrics. In summary, FIGS. 28 and 21 differ in that the rhyme is shown in the main part in FIG. 21, whereas SOUNDALIKES is shown in the main part in FIG. In the latter case, this is due to clicking on “All SOUND-ALIKES” 236a.

  FIG. 27 shows a display of words associated with the keyword “shopper” from the SOUND-ALIKES area 236 of FIG. When the user wants to browse SOUND-ALIKES for the search word “water”, the user can select any one of the keywords displayed in the SOUND-ALIKES area 236. For example, when the user selects the keyword “shopper” of the rhyme group, the same syllables of the keyword “shopper”, ie, “chopper”, “upper”, and “whopper”, which are SOUND-ALIKES for the search word “water”, are displayed in the main display window 201 of FIG. Thus, if the user cannot use one of the water rhymes, the user selects the keyword shopper and one of the words displayed in the main display window 201, ie, pauper is similar to the word water To find out if you can complete the lyrics by providing rhymes. The user can automatically obtain the rhyme without clicking on the word in the main section 201 of FIG. The user must press an option key and click a dictionary, and then get the result from that dictionary. Another way to obtain the rhyme of the word in the main section 201 is for the user to enter the word in the search area and pass “Go” to obtain the rhyme of that word.

  FIG. 29 shows an example of a graphical user interface displaying the results of a user who has selected the option to display all SOUND-ALIKES and rhymes together. The display of both SOUND-ALIKES and siblings is achieved when the user selects the + symbolic box 236b shown in FIG. When + symphony box 236b is selected together with all SOUND-ALIKES boxes 236a, the words displayed in main display window 201 are all of the same rhymes of the current search word and all of SOUND-ALIKES of the current search word. Is included. As shown in FIG. 29, the water rhyme “daughter” is displayed along with the water SOUND-ALIKES “broader” and “father”. Due to the special phonetic ordering described in the previous section, the SOUND-ALIKES display with the same rhymes creates tighter subgroups in the word list based on the sounds of the second and third syllables. Those skilled in the art will see that when all SOUND-ALIKES box 236a is checked and + symphony box 236b is checked, all words in all leg rhyme groups with the same SOUND-ALIKES ID 40 of FIG. 20 are displayed and selected. It will be appreciated that the user is given the larger word list possible.

  Another option is shown in FIG. The user can select and display all of the homonyms of the search word and words associated with only one of the SOUND-ALIKES keywords. This is accomplished by clicking on one of the keywords, eg, “bopper”, and selecting the + sibling box 236b. FIG. 30 shows the result displayed in the main display window 201. Here, the same rhyme “daughter” of the current search word is shown together with “hopper” from the shopper of the SOUND-ALIKES keyword.

  The user can change the displayed word through various available filters. These filters interact with the SOUND-ALIKES database 131-2 in a relatively similar manner as described above in connection with the rhyme database 131-1. For example, when the primary 224b option of FIG. 28 is selected, the search engine module 121 of FIG. 2 looks at the category ID 21 of FIG. 20 of the detected SOUND-ALIKES, and displays all SOUND-ALIKES whose category ID 21 is primary. To do. The replied words are a subset of SOUND-ALIKES more common in everyday life conversations. Each word of the SOUND-ALIKES rhyme is grouped into at least one of three categories: primary, secondary, and pop culture. In FIG. 28, the current search word is “water” and the option primary 224b is selected along with the all SOUND-ALIKES button 263a. The result displayed in the main display window 201 of FIG. 28 includes words such as “coffer”, “watcher”, and “chopper”. The syllable filter 222 also operates in the same manner as described in the Rhyme Database 131-1 section.

  Those skilled in the art will understand that when the + sibling button 236b is selected and the primary 224b option is selected, the search engine module 121 in FIG. 2 looks at the category ID 21 of SOUND-ALIKES and the category ID 19 of the rhyme, which word is the main word. It will be understood that it is determined whether to display on the display window 201.

  As the final caveat, the aforementioned SOUND-ALIKES database takes one of the few choices of similar words. However, this choice will be broader, such as “night” and “eye”, “day” and “make”, and “tree” and “weak”. Some slang-wide SOUND-ALIKES are "gun" and "Freeee DOM", "day" and "party" ("party" slang), "day" and "may" ("me" pronunciation mistakes) ).

Especially in songs, the loose use of similar sounds is effective.
(Allium database)

  Returning to FIG. 18 and FIG. 20 for the search for words in the allody database 131-3, FIG. 18 considers the display of words that begin with the same sound as the word being searched. In FIG. 20, the reader goes to the rhyme ID 50, which is a unique number assigned to a unique rhyme group. The rhyme group in this book consists of words that start with the same sound. Since the words “fruit”, “fracas”, and “Frankfurt” all start with the sound “fr”, they are phallic and have the same phallic m50 by belonging to the same phallic group.

  FIG. 31 shows an example of a graphical user interface to the cadaver database 131-3 of FIG. In FIG. 31, a rhythm button 250 is selected from the menu bar 250. The user clicks on the Allium button 250 to search the Allium dictionary. The user then enters a search word in the search field 221 and starts the search. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 shown in FIG. 2 searches the phallus ID 50 shown in FIG. 20 in the allelic database 131-3 to check whether or not the current search word belongs to the allelic group. When the current search word belongs to the allelic group, the search engine module 121 detects all words in the allelic database 131-3 having the same allelic ID 50 as the current search word, and the user is displayed in the main display window 201 of FIG. Prepare to display words. Accordingly, the main display window 201 includes words such as fracas, Frankfrut, and frat.

  The search engine module 121 of FIG. 2 not only displays words that are the culmination of the current search word, but the search engine module 121 also suggests related sound groups for the current search word. Returning to FIG. 20, the search engine module 121 checks the related sound ID 52 of the allody and determines whether or not the current search word has a related sound group.

  A related sound group is a group of words that are all related to each other but only relate to the starting sound of the current search word. For example, the search word fruit has a start sound “fr”. However, the sounds “f” and “fl” are related to the sound “fr”. Thus, a word with the sound “P” or “fl” may be a related sound that can be used for lyrics or poetry.

  FIG. 31 shows how the related sound can be displayed in the related sound window 252. The current search word is “fruit”. The word “fruit” has two related sound groups, 1) “f” represented by the word “fear”, and 2) “fl” represented by the word “fly”, so the word “fruit” "Has two rhyme related sound IDs 52 of FIG. Keywords for each of the related sound groups are displayed in a related sound window 252 that includes the words “fear” and “fly”. In the main screen portion 201, the word “fruit” and the utterance word are displayed in consideration of the word of the syllable 222 in which “all” is selected. The words that can be seen are "fracas", "fraction" and "fractal" along with other "fr" words. The user can select a related sound keyword in the related sound window 252, and the search engine module 121 in FIG. 2 returns a word that matches the related sound from the allody database 131-3 in FIG. This can be seen in FIG. 32, where the word “fear” in the related sound side box 252 has been clicked from FIG. FIG. 32 shows the words “fab”, “fade”, and “Fagin” that match the related sound group keyword “fear”. In FIG. 32, the word “fear” has the next carrot, and the user thinks it is this word of the associated sound 252 that is active and is the display of the main portion 201 for that word. You should pay attention to what you understand. It should also be noted that the search word still reflects “fruit” and gives the user a history of the search.

The user can change the word displayed by the various filters available. These filters interact with the rhyme database 131-3 in a relatively similar manner as described above with respect to the rhyme database 131-1. For example, when the primary 224b option is selected, the search engine module 121 of FIG. 2 looks at the category ID 20 of FIG. 20 of the detected humor (or related sound), and looks at the category ID 22 primary all humor (or related sound). indicate. The replied words are a subset of the more common rhythms in everyday conversation. Each word of the e-CPT is grouped into at least one of three categories: primary, secondary and pop culture. In FIG. 31, the results displayed in the main display window 201 of FIG. 31 by the current search word “fruit” and all the options 224a selected for each syllable are “fracas”, “Frankfurt” and “frat”. "And so on.
(Pop Culture Database)

  Returning to FIG. 18, the pop culture database 131-4 constitutes an important part of American and world culture and is the most widely recognized name, place, people, event, product and icon. More than 11,000 collections. Those skilled in the art will appreciate that the pop culture database can be extended to include recognizable names, places, people, events, products and icons of other cultures and languages. Any of a number of different means can be used to organize and display the data provided in the pop culture database 131-4. The following is just one example of how pop culture data is arranged and organized.

  FIG. 33 shows an example of a graphical user interface that can be used to access data in the pop culture database 131-4. The user can select the pop culture menu 260 from the menu bar 205. FIG. 33 shows pop culture data organized into four main categories: “World”, “Famous Name”, “Famous Product” and “Food, Drink & Travel”. All subjects and categories are displayed when the user selects the “Index” tab 261 of FIG. Otherwise, each category can be viewed by clicking on the other tabs, “World”, “Famous Name”, “Famous Products” and “Food, Drinks & Travel”. Each of these categories is preferably divided into more specific subject categories. By selecting one of the subject categories, the words within that category are displayed. FIG. 34 shows the words that are displayed when the famous product category 268 is selected and then the name brand and icon category 269 is selected. Words in the “Name Brands and Icons” 269 category include registered trademarks such as Ajax®, Folgers® and iMac® as shown in FIG.

  Returning to FIG. 20, the subject keyword hyperlink 910 includes a subject category list. When the user selects a subject category, the search engine module 121 of FIG. 2 identifies the subject keyword hyperlink 910 and detects the associated pop culture ID 912 of FIG. The search engine module 121 of FIG. 2 collects and displays all the words in the pop culture database 131-4 having the same pop culture ID 912. The word is displayed by the search engine module 121 of FIG. 2 by the pop culture classification ID 914 of FIG.

The user can change the word displayed by two of the filter, all and favorites. These filters interact with the pop culture database 131-4 in a relatively similar manner as described above in connection with the rhyme database 131-1. For example, when the all button is selected, the search engine module 121 of FIG. 2 looks at the category ID 823 of FIG. 20 of the detected pop culture and displays all the pop cultures. When the favorite button is selected, only the pop cultures that are in favorites are displayed. The syllable filter 222 described in other examples can also be used, which affects the number of syllables in each displayed word.
(Phrase database)

  Referring to FIG. 17, the phrase database 133 is designed to include a large collection of combinations of phrases, phrases, sayings, slang expressions, idioms, and words, referred to herein simply as phrases. The more accurate name of the phrase database is, as will be easily understood by the reader, a phrase / fix phrase / sayer / word combination database.

  One challenge of providing a large phrase collection is to provide users with quick response times for a variety of different types of queries. FIG. 19 is actually divided into three separate databases, rhyming phrase database 133-1, SOUND-ALIKES phrase database 133-2 and phrase / fix phrase / says / word combination database 133-3. The phrase database 133 is shown by the reader. The reader is directed to FIG. 20, which is associated with each phrase in the rhyming phrase database 133-1, the SOUND-ALIKES phrase database 133-2, and the phrase / fix phrase / sayer / word combination database 133-3. An example of the ID is shown. Each ID allows the search engine module 121 of FIG. 2 to quickly detect, classify, and display words that match a given query.

The user can change the word displayed by two of the filter, all and favorites. These filters interact with the phrase database 131-3 in a relatively similar manner as described above in connection with the rhyme database 131-1. For example, when the all button is selected, the search engine module 121 in FIG. 2 displays all phrases by looking at the category ID 827 in FIG. 20 of the detected phrase. When the favorite button is selected, only the phrases that are in favorites are displayed. The syllable filter 222 described in other examples can also be used, which affects the number of syllables in each displayed phrase.
(Rhyme phrase database)

  The search for the word in the rhyming phrase database 133-1 displays the phrase ending with the word being searched and the rhyme word. Returning to FIG. 20, the reader goes to the last word rhyme group ID 74, which is a unique number assigned to a unique last word rhyme group. The last word rhyme group consists of phrases in which last words are grouped together by speech. The last word of one of the phrases is rhyme with the last word of another of the phrases in the same rhyme phrase group. Accordingly, the phrase “a cool drink of water” and the phrase “my long last daghter” have the same last word rhyme group ID because the words “water” and “daghter” are the same rhyme.

  FIG. 35 shows an example of a graphical user interface to the rhyme phrase database 133-1 of FIG. In that figure, it should be noted that rhyme phrase 230 is clicked in main menu bar 205, all selected syllables are in side menu 222, and all buttons 224a and favorite buttons 224e can be used as filters. . The search word is “night”. The side option alternative pronunciation 234 is not activated, but SOUND-ALIKES 236 includes the words “bike” and “gripe”. In FIG. 35 having the rhyme phrase menu 230 selected from the menu bar 205, the user searches for the rhyme phrase in the rhyme phrase database 133-1 of FIG. 19 using the search engine module 121 of FIG. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 in FIG. 2 searches the rhyme group ID 20b in FIG. 20 to check whether the current search word belongs to the last word rhyme group. When the current search word belongs to the last word rhyme group, the search engine module 121 detects all phrases in the rhyming phrase database 133-1 having the same last word rhyme group ID 74 as the rhyme group ID 20b of the current search word. The main display window 201 in FIG. 35 prepares to display the phrase to the user. Accordingly, the main display window 201 includes phrases such as “A tourism right” and “A disturbing light”.

  The search engine module 121 of FIG. 2 not only displays the rhyming phrases with the current search word, but the search engine module 121 also suggests the word that the user wants to search in addition to the current search word. Referring back to FIG. 20, the search engine module 121 checks the last word alternative pronunciation ID 607 to determine whether the current search word has another pronunciation.

Another pronunciation in the rhyme phrase database 133-1 in FIG. 19 is detected in the same manner as that detected in the rhyme database 133-1 in FIG. Category and syllable filters can also be used to change the phrase list displayed to the user from the rhyming phrase database 133-1 of FIG. In the diagram shown in FIG. 35, two categories, an all filter 224a and a favorite filter 224e are provided. The all filter 224a allows the user to display all phrases returned by the search engine module 121 of FIG. 2, whereas the favorite filter 224e displays the favorites collected by the user. A description of favorite filter 224e follows the section describing rhyme and phrase collection. The syllable filter 222 described in other examples can also be used, which affects the number of syllables in each rhyme phrase being displayed.
(SOUND-ALIKES phrase database)

  A search for a word in the SOUND-ALIKES phrase database 131-2 displays a phrase that ends with a word that is similar to the word being searched but is not in the same rhyme. Returning to FIG. 20, the reader goes to the last word SOUND-ALIKES ID 609, which is a unique number assigned to a unique last word SOUND-ALIKES phrase group. The last word SOUND-ALIKES phrase group may include more than one last word rhyme group. The last word SOUND-ALIKES phrase group is a phrase group in which the last word is similar to the search word, but the last word is not the same as the search word. For example, the word “bike” is similar to the word “night” but is not sympathetic to each other. The last word SOUND-ALIKES ID 609 is used by the search engine module 121 of FIG. 2 to determine whether the current search word belongs to the last word SOUND-ALIKES phrase group.

  In addition to checking the last word SOUNDALIKES ID 609 of FIG. 20, the search engine module 121 of FIG. Or, it is checked whether or not it has the last word EEZE phrase group. The last word EEE phrase group is a special type of SOUND-ALIKES phrase group. According to conventional rhymes, the words “tree” and “reality” are not rhymes. But in songwriting, these words are often used together. If the user searches for SOUND-ALIKES phrases for the word tree, there are over 1300 last words EEE SOUNDALIKES. The last word EEE group ID 611 is a means of associating a number of last word EEE SOUND-ALIKES phrases with this sound. The last word EEZE phrase group includes a plurality of words detected in the EEE phrase group.

  FIG. 35 shows an example of the graphical user interface of the SOUND-ALIKS phrase database 133-2 of FIG. In FIG. 35, the rhyme phrase menu 230 is selected from the menu bar 205. To search for a rhyme phrase, the user clicks the rhyme phrase button 230. The user then enters a search word in the search field 221 and starts the search. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 of FIG. 2 searches the rhyme group ID 20b of FIG. 20 to determine whether or not the word belongs to the last word rhyme group. Next, the search engine module 121 shown in FIG. 2 looks at the last word SOUND-ALIKES ID 609 in FIG. Find out. Each last word rhyme group in the last word SOUND-ALIKES phrase group is assigned a last word rhyme group keyword so that the user can select a last word rhyme group to be used.

  If the last word rhyme group belongs to the last word SOUND-ALIKES phrase group, the search engine module 121 may include the SOUND-ALIKES phrase database 133-2 having the same last word SOUND-ALIKES ID 609 as the current last word rhyme group. All of the last word rhyme groups are detected, and the keyword of the last word rhyme group is prepared to be displayed to the user in the SOUND-ALIKES display area 236 of FIG. Thus, the SOUND-ALIKES display area 236 includes words such as “gripe” and “bike” when the current word is “night”.

  Those skilled in the art will understand that the SOUND-ALIKES phrase database 133-2 of FIG. 19 and the SOUND-ALIKES database 131-2 of FIG. 18 operate relatively similarly. The former holds and displays phrases, while the latter holds and displays words. Therefore, the option to display all SOUND-ALIKES phrases and only all SOUND-ALIKES phrases and homophonic phrases or parts of SOUND-ALIKES phrases has been described above with reference to the SOUND-ALIKES database 131-2 in FIG. Works the same as

Category and syllable filters can also be used to change the phrase list displayed to the user from the SOUND-ALIKES phrase database 133-2 of FIG. In the diagram shown in FIG. 35, two category filters, an all filter 224a and a favorite filter 224e are provided. The all filter 224a allows the user to display all phrases returned by the search engine module 121 of FIG. 2, while the favorite filter 224e displays the favorites collected by the user. A description of favorite filter 224e follows the section describing rhyme and phrase collection.
(Phrase database)

  The user searches the phrase database when searching for a phrase including the current search word. Referring back to FIG. 20, the reader goes to the combined serial number ID 71, which is a unique number that includes all serial number IDs 901 of the words in the phrase.

  FIG. 36 is an example of a graphical user interface to the phrase database 133-3 of FIG. In FIG. 36, the phrase menu 240 is selected from the menu bar 205. To search for a phrase, the user clicks the phrase button. The user then enters a search word in the search field 221 and starts the search. As described above, the search engine module 121 of FIG. 2 preferably determines whether the search word has the serial number ID 901 of FIG. When the serial number ID 901 is detected, the search engine module 121 of FIG. 2 searches the combined serial number ID 71 of FIG. 20 and searches for the serial number ID 901 of the current search word in the combined serial number ID 71 of the phrase. To determine whether the phrase contains the current search word. Then, the search engine module 121 of FIG. 2 displays all phrases including the current search word.

  The search engine module 121 of FIG. 2 not only displays phrases that include the current search word, but the search engine module 121 also suggests the word that the user wants to search in addition to the current search word. Referring back to FIG. 20, the search engine module 121 checks the phrase alternative pronunciation ID 73 to determine whether the current search word has another pronunciation.

  Another pronunciation of the phrase database 133-3 in FIG. 19 is detected in the same manner as that detected in the rhyme database 133-1 in FIG.

  In addition to providing the user with another possible pronunciation, the search engine module 121 of FIG. 2 determines whether there is a related word by looking at the ID 583 of the related word 1 and the ID 584 of the related word 2 of FIG. Check out. The related word is a word including a current search word or a part of the current search word. This is more clearly illustrated by the following example. First, the word “night” is taken. “Night” is one word, but words such as “goodnight”, “nightmare”, and “tonight” all include the word “night”. Accordingly, these words are grouped together in a related word group, and the ID associated with the related word group is placed in ID 583 of related word 1 for word night. Thus, when the user enters “night” as the current search word shown in FIG. 36, the search engine module 121 of FIG. 2 preferably has a word such as goodnight, nightmare, and tonight under the related word 1 242. Displays words in the related word group indicated by ID 583 of related word 1 including “night”.

  On the other hand, it is assumed that the current search word is “daylight”. “Daylight” actually consists of two different words “day” and “light”. Thus, the related word may include the word “day” such as “daydream” and “everyday”, or the related word may include the word “light” such as “lightheaded” and “candlelight”. Words that include the word “day” are grouped together in an associated word group, and the ID associated with the associated word group is placed in the ID 583 field of the associated word 1 for the word “daylight”. Words related to the word “light” are grouped together in an associated word group, and the ID associated with the associated word group is placed in the ID 585 field of the associated word 2 for the word “daylight”. Thus, when the user enters “daylight” as shown in FIG. 37, the search engine module 121 of FIG. 2 preferably includes the first word “day” that includes daydream and everydayday under the associated word 1 242. The words of the related word group indicated by the ID 583 of the related word 1 are displayed. Further, the search engine module 121 of FIG. 2 is preferably indicated by an associated word 2 ID 584 that contains a second word “light” that includes “lightheaded” and “handlelight” under the related word 1 242. Displays the words of the related word group. By selecting one of the displayed related words, the search engine module 121 of FIG. 2 displays a phrase that includes the related word selected from the phrase database 133 of FIG.

  Category and syllable filters can also be used to change the phrase list displayed to the user from the phrase database 133-3 of FIG. In the diagram shown in FIG. 36, two category filters, an all filter 224a and a favorite filter 224e are provided. The all filter 224a allows the user to display all phrases returned by the search engine module 121 of FIG. 2, while the favorite filter 224e displays the favorites collected by the user. A description of favorite filter 224e follows the section describing rhyme and phrase collection.

  In addition to the above phrase search, the user can access the phrase database 133-3 of FIG. 19 via the phrase index. The phrase index lists all words included in the phrase database 133-3 of FIG. 19 in alphabetical order. Returning to FIG. 36, access to this phrase index may be performed by the index display button 244. As shown in FIG. 38, the phrase index area 247 is shown at the bottom of the graphical user index. In addition, at the top of the graphical user index is a series of tabs, each representing a portion of the alphabet. The user can select any of the tabs to display the words listed in the phrase database 133-3 of FIG. Of course, the user can preferably hide the phrase index. As shown in FIG. 38, this can be realized by an index non-display button 245. One advantage of being able to display the phrase index is that it helps to recover the writer's block. Viewing blank pages is the worst. By searching the phrase index, the user detects words and phrases that can stimulate the creation process.

Each phrase is analyzed word by word. When the user selects a word in the phrase index area 247, the search engine module 121 in FIG. 2 collects all phrases including the serial number ID 901 of the selected word in FIG. 20 in the combined serial number ID 71. A phrase including the selected word is displayed in the main display window 201. The reply shown in FIG. 36 is useful based on the above information. The searched word is “night”. Further, filters of “all” 224a and “favorites” 224e can be used. Alternative pronunciations 234 can also be used. These appear on the sides of the screen like other screens. There is also an option to select the related word 242 as the first and second choices. A word such as “fly-by-night” or “Goodnight” is detected as the first option in FIG. As in the previous screen, you can click these sidebar words to further process these via the database. Finally, the main portion of the screen 201 contains a complete list of words such as “A bad night”, “A bad night in Haven”, and the like.
(Other databases)

  Furthermore, the customized database, database 111 of FIG. 17, preferably comprises a reference dictionary 137. In one embodiment, reference dictionary 137 is The American Heritage® Dictionary of the English Language 4th edition Copylight 2000 from Houghton Mifflin Company. FIG. 39 shows an example of how the search engine 121 of FIG. 2 displays information of a given word from the reference dictionary 137 of FIG. 18 via the dictionary area 270.

  Returning to FIG. 17, the reader will notice that in addition to the reference dictionary 137, the thesaurus 136 is preferably integrated into the database 111. In one embodiment, the thesaurus 136 is the Roget's II: The New The third edition by the editor of The American Heritage (R) Dictionary, Copylight 1995 of Houghton Mifflin Company. FIG. 40 shows an example of how the search engine module 121 of FIG. 2 displays information of a given word from the thesaurus 136 via the thesaurus area 280.

The database 111 of FIG. 18 above can be used together to provide a plurality of different words and phrases that assist the writer in the creation process. The search engine module 121 of FIG. 2 allows the user to input search terms at once. The user can then move between the plurality of databases 111 of FIG. Referring back to FIG. 21, the user can move from rhyme 220 to phrase 240 and to rhyme 250 without having to retype the word for each search. In addition, the user can select any word in any of the menus, and that word becomes the current search word in all of the databases 111. This allows the user to move from word to word and from search to search without extra typing.
(collection)

  As already briefly described, the systems and methods disclosed herein provide interaction between the SIM 125 of FIG. 2 and the database 111 of FIG. 1 stored in the e-CPT. This interaction allows the user to access words and phrases already selected by the user from the word database 131 of FIG. 17 and / or the phrase database 133 from the SIM 125 of FIG. For example, if the user detects a rhyme in the rhyme database 131-1 in FIG. 18 or a rhyme phrase from the rhyme phrase database 133-1 in FIG. A phrase can be selected and the e-CPT stores the word or phrase. The user can then access the selected word or phrase using the SIM 125 module of FIG.

  Preferably, the user selects a song from the song list 141 of FIG. 3 or creates a new record. This selected song is referred to as the current active song. As described above, each song has the collected word and phrase file 147 of FIGS. 4 and 41 associated with the song. The collected word and phrase file 147 is in the file 113 of FIG. Preferably, as shown in FIG. 41, the collected word and phrase file 147 includes a plurality of files, a rhyme file 147-1, a SOUND-ALIKES file 147-2, a head rhyme file 147-3, and a pop culture file 147-4. , Rhyming phrase file 147-5, phrase SOUND-ALIKES file 147-6, and phrase file 147-7. Those skilled in the art will appreciate that the collected word and phrase file 147 files correspond to the multiple databases shown in FIGS.

  Once the user has selected a song. Using the search engine module 121 of FIG. 2, the user can search the word database 131 of FIG. 18 and the phrase database 133 of FIG. 19 as described above. In searching the word database 131 and / or the phrase database 133, a plurality of words or phrases are displayed to the user in the main display window 201 as shown in FIGS. The user can select any word or phrase displayed in the main display window 201. The selected word or phrase is then stored in the collected word and phrase array 147 of FIG. 41 associated with the current active song. For all of the word database 131 of FIG. 18 except the pop culture database 131-4 and all of the phrase database 133 of FIG. 19, if the collected word or phrase is associated with the current active song, it is It is stored in the collected word and phrase array 147 of FIG. More specifically, it is actually stored in a custom data structure within the main data structure. It is loaded into the array and displayed.

  For example, FIG. 21 shows access to the rhyme database 131-1 of FIG. The user detects the words “slaughter”, “sea otter” and “globrotter”. Demo song 1 of the current active song title is shown at the bottom 202 of the graphical user interface. When the user selects a word, preferably by double-clicking on the word, the word changes color and becomes italic to inform the user that those words have been selected. In addition, the word is stored in one of the files in the collected word and phrase file 147 shown in FIG. In this case, the database being searched is the rhyme database 131-1 in FIG. Accordingly, any word selected from this database is associated with the search word water and collected in the rhyme file 147-1 of FIG.

  If the user selects one or more words or phrases from the word database 131 of FIG. 18 or the phrase database 133 of FIG. 19, the user can return to the SIM 125 of FIG. From the SIM 125, the user can display the collected words shown in FIG. 41 and the collected words in the phrase file 147.

  FIG. 42 shows an example of a graphical user interface of the SIM 125 when the collection menu 350 is selected. The collection menu 350 allows the user to access the collection word and phrase file 147 of FIG. The collection word and phrase file 147 is accessed through the collection category 352 of FIG. Rhymes 352a, rhyming phrases 352b, phrases 352c, pop culture 352d and head rhyme 352e are under the collection category 352. The rhyme file 147-1 and the SOUND-ALIKES file 147-2 of FIG. 41 for the current active song are accessible via the rhyme 352a of the collection category. The rhyme phrase file 147-5 and the phrase SOUND-ALIKES file 147-6 of FIG. 41 for the current active song can be accessed via the rhyme phrase 352b of the collection category of FIG. The phrase file 147-7 of FIG. 41 for the current active song can be accessed via the collection category phrase 352c of FIG. The pop culture 147-4 of FIG. 41 for the current active song can be accessed via the collection category pop culture 352d of FIG. The rhyme file 147-3 of FIG. 41 for the current active song can be accessed via the rhyme 352e of the collection category of FIG.

  FIG. 42 shows the selection of the collection menu 350 and the rhyme 352a of the collection category. The words searched by the user and the collected words from the search results are listed in the search area 354. By selecting any of the words listed in the search area 354, the collected words are displayed. For example, when the user selects the word “water” from the search area 354, the words collected by the user from the rhyme database 131-1 in FIG. 18 when searching for the word “water”, that is, “slaughter”, “sea otter” and “ The “globerotter” is then displayed in the collected text display area 356, which is the main part of the screen. Further, the user may try to display the lyrics file 143 of FIG. 4 or the sketch file 145 of FIG. 4 for the song. In FIG. 42, this is achieved by selecting the lyrics display button 357 or the sketch display button 359.

  FIG. 43 shows an example of how the lyrics file 143 of FIG. 4 can be displayed by the rhyme file 147-1 of FIG. Further, the user may try to hide the lyrics file 143 of FIG. 4 or by selecting the lyrics non-display button 358 of FIG. As already mentioned in this book, this figure is a good example of advancing the creation of lyrics for songs, poetry or other writing. The title of the writing or song is “The Can't Take That Away” (not Demo Song 1). This is shown in the title bar. “First Poem”, “B Section” and “Chorus” are all part of the lyrics created by the user (because the lyrics are not yet clicked). The “collect” button 350 is selected and the collected items are displayed from the search word “water” (see screen side under search) below the rhyme filter in the left sidebar of “collection category” Is possible. Thus, the collected items for the rhyming term “water” are seen at the bottom of the screen. These are “slaughter”, “sea otter” and “globe rotter”. If the user then clicks on the phrase filter on the left, all collected phrases for the term water are shown.

It should be noted that the search terms can be edited as in the collection area. Both show a minus sign in the circle, and the term is highlighted and deleted.
(favorite)

  In addition to collecting text for the current active song from the word database 131 of FIG. 18 and the phrase database 133 of FIG. 19 and viewing it with the SIM 125 of FIG. 2, the collected words are added to the favorites database 139 of FIG. The This allows the user to create their own personal dictionary. As shown in FIG. 44, the favorite database 139 of FIG. 139-4, a favorite rhyme phrase database 139-5, a favorite SOUND-ALIKES phrase database 139-6, and a favorite phrase database 139-7. Those skilled in the art understand that there is a favorite database 139-1 to 139-7 for each word database 131 in FIG. 18 and for each phrase database 133 in FIG. When the user selects a word or phrase from any of the word databases 131 of FIG. 18 or from any of the phrase databases 133 of FIG. 19, the words are added to the corresponding favorite database 139 of FIG. Those skilled in the art will appreciate that there are various ways for the user to select a word or phrase. In one embodiment, the user selects a word or phrase by double-clicking on the word or phrase. The favorite database 139 in FIG. 44 continues to hold the word selected by the user until the user clears the favorite database 139.

  As described above, as shown in FIG. 21, there is a set of category filters 224 that can be used to change the words displayed by the search engine module 121 of FIG. As described above, the favorite filter 224e in FIG. 21 displays the favorites collected by the user in the rhyme database 131-1 in FIG. When the user selects the favorite filter 224e of FIG. 21, the search engine module 121 of FIG. 2 displays an arbitrary word from the favorite rhyme database 139-1 of FIG. 44 that rhymes with the current search word. The search and display of the favorite database 139 is performed in the same manner as described above in connection with the word database 131 of FIG. 18 and the phrase database 133 of FIG. Those skilled in the art will appreciate that the ID of FIG. 20 associated with the selected word is preferably stored in the favorites database 139 so that the search engine module 121 of FIG. .

The favorite filter 224e in FIG. 21 allows the user to display the words collected in the favorite rhyme database 139-1 in FIG. 44. The favorites for each of the word database 131 in FIG. 18 and the phrase database 133 in FIG. The category file allows the user to access words and / or phrases collected in the corresponding favorite database 139.
(Help, programming, spell check)

  The last point is interesting. Through this program, “help” is available as seen in many computer programs. However, the “help” for this program is somewhat different. Help opens in the section where the user is located when help is requested. Thus, if the user is in the lyrics during songwriting and there is a problem, clicking Help (which is a question mark on that page) opens the help in an area applicable to the song lyrics. More help or? The button is in the lower right corner of each page of the program. Click the help button to open the help. Two uses of help are disclosed in this document.

  The first is to click on the content table, click on the index driven button, and select the topic that needs help. Each chapter contains complete information on each topic. Reading the appendices is useful for understanding this.

  The second is to click a page-driven button, i.e., a question mark on the screen where you are. Therefore, page driving means that help is displayed for any page of the program in which the user is present. In this mode, the help follows as you change the program page. This means that if you enter the lyrics page, help for the lyrics page is displayed. However, when the change to the rhyme page is determined, the help remains open and the rhyme dictionary help is displayed. This acts like a tutorial that allows you to see help for a given feature, and you can use the program while browsing the help for that feature.

  The programming disclosed herein and clarified in Appendix B is effectively addressed through spiral programming. Rather than starting at the starting point and having to be carried along a set path, the start should be considered as a hub of wheels with spokes extending from the hub and interconnect, and once the program starts, the user , You can easily move from point to point without having to return to the home site to exchange. The program here is also designed as an embodiment of the present invention so that all features can be used once the car is started. Those skilled in the art can easily program in this way.

  Finally, although not yet described here, the system is intended for a detection system connected to a spell checker. Thus, if a user tries to search for the word “Mississippi” but misspels the word, the spell checker warns the user that the word is misspelled before the search begins, Offer another spell like a spell checker. The GOGGLE system is somewhat similar in search word correction, but does not act as a general spell checker.

  The apparatus and method of the present invention can be embodied in specific forms without departing from the essential characteristics disclosed herein. The above embodiments are contemplated in all aspects and not as a limitation. All changes within the meaning and scope of the claimed equivalents are permitted.

FIG. 1 is a diagram of aspects of the system and program of the present invention including software modules, databases and files all stored in non-volatile memory within a computer system. FIG. 2 is a diagram of a song information management module and its various components. FIG. 3 further illustrates that the song information management module of FIG. 2 comprises a song list, word processor and song file, both of which work to allow a user to create, store and modify songs. FIG. 4 shows the individual records that can be created in the program such as lyrics, sketches, collected words and phrases, selected audio tracks and song information files. FIG. 5 is a computer screenshot showing an example of a graphical user interface displaying a song list reference. FIG. 6 is a computer screenshot showing an example of a graphical user interface display when the user selects a lyrics area after selecting a demo song from FIG. FIG. 7 is a computer screenshot showing an example of a graphical user interface display when the user selects a sketch area after selecting a demo song from FIG. FIG. 8 is a computer screenshot showing how a user desires to display both lyrics and sketches of a given song by selecting a split region. FIG. 9 is a diagram of a song information file that is further divided into song flag, recording, and publication. FIG. 10 shows a graphical user interface where song flag subcategories include description, style, status, creation date, last work date, duplicate, key, time signature, length, beats per minute (BPM), and song notes. It is a computer screen shot which shows an example. FIG. 11 is a computer screenshot showing an example of a graphical user interface in which the recording subcategory of FIG. 9 contains information useful for cataloging song recordings. FIG. 12 is a computer screenshot showing an example of a graphical user interface in which the publishing subcategory of FIG. 9 includes information important to songwriters regarding song publishing. FIG. 13 is a diagram of an audio module including an audio recorder and a MIDI drum loop player. FIG. 14 is a computer screenshot illustrating an example of a graphical user interface that can be used to access the audio module of FIG. 2 via an audio tab. FIG. 15 is a computer screenshot illustrating an example of a graphical user interface that can be used to access the notebook module of FIG. 2 via a notebook menu. FIG. 16 is a computer screenshot illustrating an example of a graphical user interface that can be used to allow a user to select lyrics, sketches and audio files to be transmitted to a remote main data storage area on a network. FIG. 17 is a diagram of a database including a number of reference tools such as a word database, a phrase database, a thesaurus, a reference dictionary, and a favorite database. FIG. 18 is a diagram showing how the word database of FIG. 17 is divided into four separate databases, a rhyme database, a SOUND-ALIKES database, a phalanx database, and a pop culture database. FIG. 19 is a diagram showing how the phrase database 133 of FIG. 17 is divided into three separate databases: rhyming phrase database, SOUND-ALIKES phrase database, and phrase / fixed phrase / says / word combination database. FIG. 20 shows a flowchart of a plurality of IDs associated with each phrase in the rhyming phrase database, the SOUND-ALIKES phrase database, and the phrase / fixed phrase / says / word combination database. FIG. 21 is a computer screenshot showing an example of a graphical user interface to the rhyme database of FIG. FIG. 22 is a computer screenshot showing how another pronunciation is displayed in the alternative pronunciation window. FIG. 23 is a computer screenshot showing the words rhyme with the second pronunciation of “tea”, such as beer, tier, weer, and New Year. FIG. 24 is a computer screenshot showing the current search word for “water” with the option primary selected and displaying the word, daughter, otter and totter. FIG. 25 is a computer screenshot showing the results when the user selects the rhyme category filter option secondary. FIG. 26 is a computer screenshot showing the results when the user selects the rhyme category filter pop culture. FIG. 27 is a computer screenshot showing the display of words associated with the keyword shopper. FIG. 28 is a computer screenshot showing the results when the user clicks on all SOUND-ALIKES boxes. FIG. 29 is a computer screenshot showing an example of a graphical user interface showing the results when the user selects the option to display all SOUND-ALIKES and rhymes together. FIG. 30 is a computer screenshot showing that the user can select to display all of the current search word rhymes and words associated with only one of the SOUND-ALIKES keywords. FIG. 31 is a computer screen shot showing an example of a graphical user interface to the rhyme database of FIG. FIG. 32 is a computer screenshot showing words that match the related sound keyword “fear”, such as fab, fade, and Fagin. FIG. 33 is a computer screenshot illustrating an example of a graphical user interface that can be used to access data in a pop culture database. FIG. 34 is a computer screenshot showing the words displayed when the famous product category is selected and then the name brand and icon subject categories are selected. FIG. 35 is a computer screenshot showing an example of a graphical user interface to the rhyming phrase database of FIG. FIG. 36 is a computer screenshot showing an example of a graphical user interface to the phrase database of FIG. FIG. 37 shows a related word 1 where the user enters “daylight” and the search engine module of FIG. 2 preferably contains the first word “day” containing “daydream” and “everyday” under the related word. 5 is a computer screen shot displaying words in the related word group indicated by ID 583. FIG. FIG. 38 is a computer screenshot showing the phrase index area shown at the bottom of the graphical user interface. FIG. 39 is a computer screenshot showing an example of how the search engine of FIG. 2 displays information about a given word from the reference dictionary of FIG. 18 via the dictionary area. FIG. 40 is a computer screenshot showing an example of how the search engine module of FIG. 2 displays information about a given word from a thesaurus reference via the thesaurus region. FIG. 41 is a diagram showing a collected word and phrase file comprising a plurality of files, rhyme files, SOUND-ALIKES files, head rhymes files, pop culture files, rhyme phrase files, phrase SOUND-ALIKES files and phrase files. FIG. 42 is a computer screenshot showing an example of a SIM graphical user interface when the collect menu item is selected. FIG. 43 is a computer screenshot showing an example of how the lyrics file of FIG. 4 can be displayed as the rhyme file of FIG. 44, the favorite database of FIG. 17 includes a plurality of small databases, a favorite rhyme database, a favorite SOUND-ALIKES database, a favorite allium database, a favorite pop culture database, a favorite rhyme phrase database, a favorite SOUND-ALIKES phrase database, and a favorite phrase database. It shows that it is prepared. FIG. 45 is a computer screenshot showing a notification feature consisting of a red ellipse with a minus sign displayed to inform the user that there are no results for the current search text in the dictionary. FIG. 46 is a computer screen shot of a diagram showing an EEE group being shown. FIG. 47 is a screen shot showing a state in which an EEE group is shown.

Claims (39)

A method for processing an input word provided by a user by a computer system having non-volatile memory and volatile memory to assist in the process of creating song writing by displaying selected words , comprising:
The computer system includes a collection of word definitions, word synonyms, word allems, phrases, and pop culture words contained in the category of pop culture words and phrases in the non-volatile memory. A software program and a database;
The software program includes syllable filters for rhymes, rhyme phrases, phrases, head rhymes, and for information collected from pop culture words and SOUND ALIKE words;
( I ) step (i) in which the input word is input by the user ;
(Ii) without having to re-enter the input word, the following (a) exact rhyme of the input word,
(B) a word that is similar to the input word and is not an exact rhyme,
(C) a phrase ending with a word containing the same or similar sound as the input word; and
(D) a SOUND ALIKE word included in one or more of the aforementioned collections containing the same or similar sounds as the input word;
Of either, all selectable, selected from the word in the database of said non-volatile computer,
(Ii) dividing everything into at least one of the following groups: rhymes, phrases, rhymes, and pop culture words and phrases; and
(Iii) having a number of selected syllable, providing the syllables filter capable of displaying only the words and phrases,
It is selected for the input word, only words and phrases of these is displayed on the storage of the non-volatile memory by selecting a word or phrase that is required for the storage of the non-volatile memory Displayed to allow the computer user to detect words and phrases from words and phrases
The requested word or phrase may be invoked as a collection in a session to be used continuously, to form a user collection of the detected words and / or phrases, and step (iii),
A method comprising: Words of similar sounds in the database are grouped according to at least two of the number of syllables, plurals, singular, short vowels of the same vowel, and related consonant sounds;
Each group is assigned an identification number to facilitate the search of each group.
The method of claim 1. Words that rhyme with the input word is thus obtained in the software to consider the word to the computer by voice from the last of the word A method according to claim 1. Said word collection, the relationship between the sound of the word from the last of the word, and the number of syllables, are grouped alphabetically, by method of claim 3. In providing selected results from the word collection, the rhyme words,
Organized by the number of syllables,
Multiple syllable words are further classified by the sounds of the first syllable and the second syllable, following each syllable below,
The first syllable consonant, and
The method of claim 1, organized in alphabetical order. A database that includes a word collection comprising words that have the same spelling as the input word but different pronunciation, and words whose spelling is slightly different from the input word but have the same meaning,
The method of claim 1, wherein the word is assigned an identifier to facilitate computer search.   Allorems in the database are a collection of words that form a rhyme group, where the first characters grouped together are the same word, and at least the first two characters grouped together are grouped together. The method of claim 1, wherein the sound of the first letter is a word collection comprising similar words. The pop culture word includes celebrity names, food names, drink names, TV program titles, movie titles, magazine names, books and book titles, brand names, sights, famous events, icons, events, rivers, Comprising at least one of mountains, waters, fictional characters, fictional places, myths, religions, sports, music, art, products, and celebrity names,
The method of claim 1, wherein the words are grouped for similarity and have an identification number to facilitate access.   The method of claim 8, wherein the word is identified to facilitate computer search.   The method of claim 1, wherein the phrase is included in a word collection comprising a set of phrases, sayings, slang expressions, idioms, and words.   The method of claim 10, wherein the word collection is identified to facilitate computer search.   Singular, plural, short vowel, long vowel, syllable number of a word, and sound similar to an input word comprising searching the input word for the word in the database for consonants The method of claim 1, wherein: The selected words are in the following order:
First the shortest syllable word,
A word having the same last syllable sound as the word being searched,
A word having the same syllable sound as the word being searched until all syllables are exhausted,
A word having the same last syllable as the associated consonant, and
Words indexed alphabetically,
Is displayed,
The method of claim 1, wherein each of these is arranged in a set from the most similar group to the less similar group.   2. The searched word is pre-grouped into similar sound units to facilitate the search of the word, and the similar sound units are assigned an identification number to further facilitate the search. the method of. After the input word has been entered by the user, the computer system suggests additional input to the user looking method of claim 1.   The additional input is another pronunciation, and the computer database has a different meaning and / or pronunciation if the spelling is slightly different from a word that has the same spelling as the current word but a different meaning and / or pronunciation. The method of claim 15, comprising an alternative pronunciation database comprising:   17. The method of claim 16, wherein the additional input relates to words that are similar in sound and words that are related to but different from the word being searched.   A file name is established before entering the word, and when the input word is checked in the checking step, any word selected by the user from the permission step is saved in the established file name. The method of claim 1, further comprising:   The method of claim 18, wherein words selected by the user from the authorization step are also stored in a favorites database.   19. When a file name is selected in the establishing step, the user can enter, delete and modify text entered by the user in the text of the file held by the file name. The method described.   21. The method of claim 20, wherein the computer system allows the user to see both the text in the file held by the file name and the word selected in the permission step. In step (ii), the input word, the user by selecting an option to view both the entire SOUND-Alike and Doin, before providing the information to the user, is selected in the all databases that the method of claim 1.   A computer system having a detection function, wherein when the detection function is connected to a spell check and an incorrect word of the spell to be detected is input, the spell check is a spelling error to the user and the correct spelling to search The method of claim 1, further alerting another alternative word.   The method of claim 1, wherein the collected and selected words and / or phrases can be deleted and added.   The method of claim 1, further comprising an editable favorite dictionary, wherein the favorite dictionary is in addition to and includes the collected and selected words and / or phrases. The software program filters the output from the word definition, the synonyms of the word, the phrasal of the word, the phrases, and the collection of words of the pop culture for quality selected other than syllables The method of claim 1, further comprising the step of:   Filtering using a filter that is at least one of primary, secondary, and favorite, wherein the primary filter is found very frequently in the rhyme dictionary, the syllabary dictionary, the phrase dictionary, and general terms Works with the similar word dictionary for words, the secondary filter works with the rhyme dictionary, the cephalism dictionary, the phrase dictionary, and the similar word dictionary, selecting words that are not used very often in general terms; 27. The method of claim 26, wherein a favorite filter outputs for the input words that come only from the favorite dictionary.   The method of claim 1, further comprising conveying a plurality of input words to obtain a final output and further recording the final output along with the creation date and the name of the creator.   29. The method of claim 28, including connecting the computer system to a network for third party storage and creation date and time authentication as well as the creator name.   The method of claim 1, further comprising storing at least the user's thoughts in a notebook section of the computer system by input to the notebook section by the user.   32. The method of claim 30, wherein the notebook section has a classification function.   32. The method of claim 30, wherein the notebook entry is associated with a specific project for classification according to project. The method of claim 1, wherein the software program includes a help system that addresses a displayed subject matter when help is requested. 34. The method of claim 33, wherein the help function is such that the user responds by changing navigation through a program . Collection of the phrase, including a phrase containing the input word, the method according to claim 1. A method for processing an input word provided by a user by a computer system having non-volatile memory and volatile memory by displaying a selected word , comprising:
The computer system includes a collection of word definitions, word synonyms, word allems, phrases, and pop culture words contained in the category of pop culture words and phrases in the non-volatile memory. A software program and a database;
The software program includes syllable filters for rhymes, rhyme phrases, phrases, head rhymes, and for information collected from pop culture words and SOUND ALIKE words;
( I ) step (i) in which the input word is input by the user ;
(Ii) without having to re-enter the input word, the following (a) exact rhyme of the input word,
(B) a word that is similar to the input word and is not an exact rhyme,
(C) a phrase ending with a word containing the same or similar sound as the input word, and (d) a word included in one or more of the above collections containing the same or similar sound as the input word,
One of, selected from the word in the database of said non-volatile computer,
(Ii) dividing everything into at least one of the following groups: rhymes, phrases, rhymes, and pop culture words and phrases; and
(Iii) having a number of syllables in which the user is selected, it can be selected to display only words and phrases, each of the groupings, or to provide for all of them, the syllables filter,
With respect to the input word, the information found in the non-volatile database is selecting a word and phrase from the indicated word by selecting the requested word, the user of the computer Step (iii) displayed to allow; and
With
The method further includes storing and accessing an audio sound associated with the indicated information.   37. The method of claim 36, wherein the audio sound is stored and accessed in an audio module further comprising a collection of MIDI drum loops. A method for processing an input word provided by a user by a computer system having non-volatile memory and volatile memory by displaying a selected word , comprising:
The computer system includes a collection of word definitions, word synonyms, word allems, phrases, and pop culture words contained in the category of pop culture words and phrases in the non-volatile memory. A software program and a database;
The software program includes syllable filters for rhymes, rhyme phrases, phrases, head rhymes, and for information collected from pop culture words and SOUND ALIKE words;
( I ) step (i) in which the input word is input by the user ;
(Ii) without having to re-enter the input word, the following (a) exact rhyme of the input word,
(B) singular, plural, short vowels, long vowels, the number of syllables of a word, and by searching the input word is the word of the database about the consonant, said input word similar sound A word that is not an exact rhyme,
(C) a phrase ending with a word that contains the same or similar sound as the input word; and (d) includes the same or similar sound as the input word and is pre-grouped into similar sound units to facilitate the search for the word. A word containing one or more of the aforementioned collections, wherein the similar sound units are assigned an identification number to further facilitate the search;
One of, selected from the word database of the nonvolatile computer,
(Ii) dividing everything into at least one of the following groups: rhymes, phrases, rhymes, and pop culture words and phrases; and
(Iii) having a number of syllables in which the user is selected, it can be selected to display only words and phrases, each of the groupings, or to provide for all of them, the syllables filter,
For the input word, the information found in the non-volatile database is in the following order:
First the shortest syllable word,
A word having the same last syllable sound as the word being searched,
A word having the same syllable sound as the word being searched until all syllables are exhausted,
A word with the same related consonant and the same last syllable,
And words indexed alphabetically ,
These are arranged in sets from the most similar group to the least similar group ,
Selecting a word and phrase from the indicated word by selecting the requested word, and step (iii) that is displayed to allow a user of the computer,
A method comprising: A method for processing an input word provided by a user by a computer system having non-volatile memory and volatile memory by displaying a selected word , comprising:
The computer system includes a collection of word definitions, word synonyms, word allems, phrases, and pop culture words contained in the category of pop culture words and phrases in the non-volatile memory. A software program and a database;
The software program includes syllable filters for rhymes, rhyme phrases, phrases, head rhymes, and for information collected from pop culture words and SOUND ALIKE words;
( I ) step (i) in which the input word is input by the user ;
(Ii) without having to re-enter the input word, the following (a) exact rhyme of the input word,
(B) a word that is similar to the input word and is not an exact rhyme,
(C) a phrase ending with a word containing the same or similar sound as the input word, and (d) a word included in one or more of the above collections containing the same or similar sound as the input word,
One of, selected from the word in the database of said non-volatile computer,
(Ii) dividing everything into at least one of the following groups: rhymes, phrases, rhymes, and pop culture words and phrases; and
(Iii) having a number of syllables in which the user is selected, it can be selected to display only words and phrases, each of the groupings, or to provide for all of them, the syllables filter,
With respect to the input word, the information found in the non-volatile database is selecting a word and phrase from the indicated word by selecting the requested word, the user of the computer Step (iii) displayed to allow; and
With
The method further includes storing and accessing an audio sound associated with the indicated information, wherein the audio sound is stored and accessed in an audio module further comprising a collection of MIDI drum loops. .

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