TWM587776U - Hierarchical relevant network search prompting structure for word - Google Patents

Abstract

A single-word hierarchical and related mesh search prompt structure includes a website platform. The main hardware structure of the website platform is in the form of a central server. The central server includes a processor and a memory. The processor is used for Required operations; the memory stores all data; a client interface is connected with each external client so that the client can enter the website platform through the client interface; a font is stored in the memory and contains a large number of words As a choice; the words in the font are divided into different levels to determine the corresponding words in the display according to the degree of the trainee when displayed; a logic operator is connected to the processor, which is divided into several types of logical processing units In order to select the relevant words in the word library according to the logical rules for the single words input by the client from the client, a mesh word group structure is formed and displayed according to the logic rules. When the user further clicks on one of the mesh word group structures, When a single word is displayed, the corresponding net-shaped word group structure is displayed according to the selected word.

Description

Hierarchical Relevant Mesh Search Tip Structure

This creation is a related language learning system for single words, especially a hierarchical relational mesh search prompt structure for single words.

A single word is mostly composed of different letters, so it can be regarded as a password. Language teaching, learning, and discount tests through the Internet or in the classroom have been widely used. At present, there are font systems, in which the words are divided into several levels. Learners can learn individual words according to the level. It can also be considered as learning individual passwords. Flexible and fun. At present, the functions of traditional Chinese teaching in Chinese and foreign applications are not complete. Their applications are limited by the rigid methods and software used. They can only explain the meaning of the isolated password-inquired words or propose no support. Reliable example sentences increase learning obstacles, or just explain or explain the source of the part of speech of its isolated cryptographic word, not only can not provide a variety of volatile related words and language (language) learning and application assistance, It is even less able to meet the actual needs, but instead causes more frustration and counter-effects.

The inventor of this case found that the original language teaching and its network system could not provide effective and streamlined methods and related word groups to assist learners to learn Chinese quickly and efficiently at a faster speed. In addition, traditional teaching methods can't keep good methods and materials in the records and share them with others on the website. In view of this, the inventor of this case proposed a new image correlation structure, Gradually form a chain of block impressions and block-images in the minds of learners, and then derive and develop self-active chain reaction application habits, multiplying the learning effect, thereby conceiving a novel technical architecture, thoroughly Eradicate the long-established shortcomings of the long-standing traditional isolated cryptographic, discounted Chinese language learning technology, and can extend this technology to the teaching and learning of various languages around the world to promote the teaching revolution.

In this creation, a hierarchical relational web search prompt structure of words is proposed. When a customer enters the website platform, a query of a word can be performed. When a customer enters a word, he can directly start the network related structural unit through the word. The service provided displays the structure of the various mesh groups of the word; or, by double-clicking on the word, the service provided by the word meaning unit can be used to display the word meaning in the dictionary; or the user You can select multiple words at one time. At this time, the relevant sentence search unit will search through the Internet to find each sentence containing the word. The user can also input words containing the word, Sentences, paragraphs or stories or create new words and archive them. On the other hand, the difficulty level of each word is also graded, and words and sentences related to each word are provided to improve the efficiency of teaching. In addition, in order to save the storage function and simplify the system architecture, an effective single-word encoding method is also proposed.

In order to achieve the above-mentioned purpose, a one-word hierarchical relational mesh search prompt structure is proposed in this creation, which includes a website platform, and the main hardware architecture of the website platform is in the form of a central server; wherein the central server includes a processor And a memory; the processor is used to perform required operations; the memory stores all data; a client interface is connected with an external client so that the client can directly enter the website platform for action through the client interface; A font, the font is stored in the memory; the font contains a large number of words for selection; Words are divided into different levels to determine the words of the corresponding level according to the choice of the customer or the degree of the trainee during the display; a logic operator connected to the processor for calculating various logic instructions, The message is passed to the processor; the logical operator is divided into several types of logical processing units, and the logical rules of the logical operation are initiated according to the single word input by the client from the client, and the relevant word group is selected in the word library; A logic rule forms and displays a network word group structure. When a user further clicks a certain word in the network word group structure, the corresponding network word group structure is displayed according to the selected word.

The following description can further understand the characteristics of this creation and its advantages, please refer to the drawings when reading.

1‧‧‧ Website Platform

2‧‧‧Client

10‧‧‧ Central Server

11‧‧‧ processor

12‧‧‧Memory

13‧‧‧Client interface

14‧‧‧font

15‧‧‧Logic Operator

16‧‧‧I / O unit

20‧‧‧Database

Figure 1 shows a block diagram of the component architecture of this case.

FIG. 2A shows a schematic diagram of the application of this case.

FIG. 2B shows the application of the case.

FIG. 2C shows a schematic diagram of the application of this case.

FIG. 3 is a schematic diagram showing the structure of the network word group in this case.

FIG. 4A shows another schematic diagram of the network word group structure in this case.

FIG. 4B shows another schematic diagram of the network word group structure in this case.

FIG. 5 is a schematic diagram showing the structure of a mesh group corresponding to a single word in this case.

FIG. 6 is a schematic diagram showing the structure of a mesh group corresponding to a single word in this case.

FIG. 7 is a schematic diagram showing the structure of a mesh group corresponding to a single word in this case.

FIG. 8 is a schematic diagram showing the structure of a mesh group corresponding to a single word in this case.

FIG. 9 shows a schematic diagram of the block-like structure of the present case.

FIG. 10 shows a schematic diagram of the text encoding function in this case.

FIG. 11 is a schematic diagram showing the structure of a mesh group corresponding to a single word in this case.

Figure 12 shows an illustrative example of a sentence, paragraph or story made up of a word and its associated word in this case.

I would like to exemplify one of the preferred embodiments of the present case and explain it in detail with reference to the structure and composition of the case, and the effects and advantages that can be generated.

Please refer to Figures 1 to 12, which show the hierarchical relational web search prompt structure of the single word of this creation, including the following components: The website platform of this creation is mainly composed of a hardware structure (see Figure 1) and is built on the hardware. It consists of operating units within the architecture.

A website platform 1. The main hardware structure of the website platform 1 (see FIG. 1) is in the form of a central server 10. The central server 10 includes a processor 11 and a memory 12. The processor 11 is used to perform operations required in the present creation. The memory 12 stores all data.

A client interface 13 is connected to the external client 2 so that the client can enter the website platform 1 directly through the client interface 13 to perform actions.

A font library 14 is stored in the memory 12; the font library 14 contains a large number of words for selection. The word system of the word bank 14 is divided into different levels, such as the first level is applicable to kindergarten students, the second level is applicable to elementary school students, the third level is applicable to middle school students, the fourth level is applicable to high school students, and the fifth level is applicable For university students, the sixth level is suitable for graduate students, and the seventh level is difficult. Therefore, according to the choice of the client or the degree of the trainee, the words of the corresponding level can be displayed during the display. The following words are Pinyin words, and English pinyin words are especially used. For illustrative purposes.

A logic operator 15 is connected to the processor 11 for computing various logic instructions and transmitting information to the processor. The logic operator 15 is divided into several types of logic processing units for customers from The word input by the client 2 is based on the logic rule of the logical operation, and the relevant word is selected in the word library 14 (where changes to the relevant word will be marked with a mark when displayed to make it easy for customers to identify) , Where the selection method of the relevant word includes the following methods (please refer to Figure 2 (A), Figure 2 (B), and Figure 2 (C)): prefix mode: remove or change the first letter of the selected word to Other letters to form another word. In the following, it is assumed that the selected word is need, and in this example, the derived word is such as need → feed.

Pre-letter mode: Add an extra letter before the first letter of the selected word to form another word. In the following, it is assumed that the selected English word is nice. In this example, the derivative word is such as nice → cornice. How → show is displayed again in FIG. 5; and talk → stalk is displayed in FIG. 6.

Suffix change mode: remove or change the last letter of the selected word to another letter to form another word. In the following, it is assumed that the selected English word is need. In this example, the derivative word is such as need → nee. As shown in FIG. 6, talk— → tall → tale → tali is displayed.

Suffix and letter mode: add an extra letter after the last letter of the selected word to form another word. In the following, it is assumed that the selected English word is nice. In this example, the derivative word is such as nice → nicer.

Change letter mode in words: keep the first and last letters of the selected word and then add or replace other letters to form another word. In the following, it is assumed that the selected English word is need. In this example, the derivative word is such as need → nod. Assuming the selected word is nice, in this example the derivative word is Such as nice → niche. This mode can transform vowels or consonants in single words. Assuming that the selected English word is small, in this example, the derivative word is such as small → smell.

Alphabetical order reversal mode: Some characters are changed or not changed after the alphabetic order of the selected word is reversed to form another word. In the following, it is assumed that the selected English word is need. In this example, the derivative word is such as need → dee.

Word-in-word mode: the letter of the selected word contains other meaningful words, which can form another word. In the following, it is assumed that the selected English word is small. In this example, the related derivative word is such as small → mall → all.

According to the above logic rules, a net-like word group structure can be formed as shown in FIG. 3. In this case, it also includes the function that when the user further clicks a certain word of the mesh word group structure, the corresponding mesh word group structure is displayed according to the selected word. As shown in FIG. 4A, when the user clicks a word at A in FIG. 4A, the corresponding net-shaped word group structure is displayed according to the word at A. In this case, a larger mesh group structure can also be formed by multiple clicks, as shown in FIG. 4B.

The logic operator 15 also stores the user's input records in a database 20 for querying and providing to other users.

In addition to the above modes, there are still many modes that users can define in the logic processing unit as needed. In addition, the language category of the examples in the above models is only based on English words, but this creation is not limited to the above examples, but can be applied to other languages and languages in conjunction with the above models.

Preferably, the font library 14 stores words in at least one language. When the user inputs a single word, the logic operation unit 15 can still display the net-like word group structure of the corresponding language according to the language set by the user. If the user enters an English word and specifies to display the result in Spanish, the logical operator 15 will display the network word group structure of the Spanish word associated with the English word.

In addition, this creation also includes a font conversion mode, that is, the displayed text has different types, styles, and colors.

The website platform 1 mainly selects a language learning platform for customers to expand by simple and gradually complex words. In addition, the logical processing unit also includes the following operating rules: Word meaning selection unit: When the user clicks on the same word multiple times in succession, the word meaning selection unit can be linked to a dictionary to display the word meaning explanation or example sentence, pronunciation, etc. of the selected word.

Related sentence search unit: After the user clicks multiple words consecutively according to the logical unit, the related sentence search unit is connected to the Internet to search for related sentences, and find each sentence containing the word. The user You can also input words, sentences, paragraphs or stories containing the relevant word or create new words based on your own ideas and archive them.

Creation mode: Users can also manually type related words, words, sentences, stories, lyrics or dialogues that they have conceived directly, and even use this mode to create and summarize new words. For example, under the structure of a single-word need, enter the relevant sentence: I need a needle.

The website platform 1 can still receive video and audio information uploaded by users, including images, pictures or sounds, and attach the video and audio information to the associated words, sentences, paragraphs or stories created by the user or the website platform 1. , To form a multimedia message containing text and audiovisual information, and to establish a corresponding serial number of the author.

An I / O unit 16 that receives information from the processor 11 for outputting and inputting data of the website platform 1. Such as the output of various net word group structure about NEED.

When the customer enters the website platform 1, the query of a single word can be performed. When the customer enters a single word, he can directly click on the single word and display the various net words of the single word through the services provided by the net word group structure. Group structure; Figures 5 to 8 show how, talk, class, new The network word group structure corresponding to a single word. Or double-click on the word to display the meaning of the word in the dictionary through the service provided by the word selection unit; or the user can select multiple words at a time, and the relevant sentence is searched at this time. The unit will search through the Internet or from the font library 14 to find the relevant mesh group structure and sentence, and the sentence contains each word just clicked by the user and is marked with different colors For easy identification.

This case also includes a block-like display of similar word structures. As shown in Figure 9, when a user clicks on a word, other words that are the same as a specific string in the word can be displayed. For example, when the user clicks talk, Then the system displays the words "talk", "walk", "balk", and "chalk" as shown in Fig. 9. These words all have the same "alk" string. Applying a block-shaped display can deepen the learning impression of learners and promote learning functions.

The case also includes the function of providing the selected word. When a single word is clicked, the logical operator 15 can display the words, sentences, stories, or lines related to the word according to the built-in data in the character library 14. As shown in FIG. 11, the logic operator 15 can display the structure of the network of word groups of a single word tree to a user, and a plurality of different sentences, paragraphs or stories are formed by the user's input or system, as shown in FIG. 12.

This case still includes single-word automatic encoding function. As shown in Figure 10, the logic operator 15 also includes single-word encoding mode. The mesh of this case is written according to the alphabetical order (such as a, b, c, d, e, f ...). In the word group structure, a main code can be assigned to the uppermost word in the network word group structure, and then a branch code is given to the branch formed by the word according to the network word group structure (behind the main code). , And then encode the text under the branch again in order (behind the sub-encoding). As shown in FIG. 10, the primary code of the single word in the uppermost layer is 1000, the secondary code of the branch is 100010, and the secondary code of the single word of the branch is 100011, 100012, 100013, etc. in that order. Application The encoding method described above can greatly reduce the number of words that need to be stored. Furthermore, it also improves the structure of the system and facilitates the processing of information. The better can also be coded according to the level of the single word.

The advantage of this case is that when the customer enters the website platform, he can query the word. When the customer enters the word, he can directly use the word to start the service provided by the mesh related structural unit and display the various meshes of the word. Character group structure; or double-click on the single word, you can display the meaning of the word in the dictionary through the service provided by the word selection unit; or the user can select multiple words at one time. The related sentence search unit searches through the Internet to find each sentence containing the word. The user can also input words, sentences, paragraphs or stories containing the related word or create new ones according to his own ideas. Word and archive. Furthermore, this case also grades the difficulty of words, and provides words and sentences related to each word to improve the efficiency of teaching. In addition, an effective single-word encoding method is designed in this case, which can achieve the functions of saving storage and simplifying the system architecture.

In summary, the humane and considerate design in this case is quite in line with actual needs. Compared with the conventional technology, the existing improvement lacks obvious improvements. It does have an improvement in efficacy and is not easy to achieve. This case has not been disclosed or disclosed in domestic and foreign literature and markets, and it has complied with the provisions of the Patent Law.

The above detailed description is a specific description of one of the feasible embodiments of this creation, but this embodiment is not intended to limit the scope of the patent for this creation. Any equivalent implementation or change that does not depart from the spirit of this creation technique should be included in Within the scope of the patent in this case.

Claims (20)

A single-word hierarchical and related mesh search prompt structure includes: a website platform, the main hardware structure of the website platform is in the form of a central server; wherein the central server includes a processor and a memory; the processor is used for To perform the required operations; the memory stores all data; a client interface is connected to an external client, so that the client can enter the website platform for action through the client interface; a font, the font is stored in the memory In the body; the font contains a large number of words for selection; the words in the font are divided into different levels to display the corresponding level of words according to the choice of the customer or the degree of the trainee when displaying; a logical operation The logic operator is connected to the processor and is used to calculate various logic instructions and pass information to the processor. The logic operator is divided into several types of logic processing units, and the logic is started according to a single word input by the client from the client. The logical rules of operation, and the selection of related groups in the word library; according to the logical rules, the shape And display a mesh group structure words, when the user further clicking the group structure of a word in the word net, according to the clicked to display the words corresponding word group of a mesh structure. According to the single word hierarchical relational mesh search prompt structure described in the first patent application scope, which also includes an I / O unit, the I / O unit receives information from the processor as an output of website platform data and For input. As described in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure for a single word, wherein the logical processing unit in the logical processor still includes a single-word meaning click unit; when a user clicks on the same word multiple times in a row After the selection, the word selection unit can be connected to a dictionary to display the word meaning explanation or example sentence and pronunciation of the selected word. As shown in item 1 of the scope of the patent application, the single-word hierarchical relational mesh search prompt structure, wherein the logical processing unit in the logical processor still includes a related sentence search unit; when the user clicks multiples according to the logical processing unit, After a few words, the related sentence search unit is connected to the Internet to search for related sentences, and the sentence contains the selected words. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a prefix change mode, that is, the first letter of the selected word is removed or changed For other letters to form another word. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a word before a letter mode, that is, the first letter of the selected word is added before Add extra letters to form another word. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a suffix change mode, that is, the last letter of the selected word is removed or Change to another letter to form another word. As described in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a pattern of reversing the alphabetical order of a word, that is, the alphabetical order of the selected word. Change or not change certain letters after reversing to form another word. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure for a single word, wherein the logical processing unit in the logical processor still includes a suffix and letter pattern, that is, after the last letter of the selected word Add other letters to form another word. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a word-for-letter mode, that is, the first and last words of the selected word Keep the letters and add or replace other letters to form another word. As shown in item 1 of the scope of the patent application, the hierarchical relational mesh search prompt structure of a single word, wherein the logical processing unit in the logical processor still includes a single-word mid-word mode, that is, the letters in the selected word are compared. Including other meaningful words can form another word. As shown in item 1 of the scope of the patent application, the hierarchically-associated mesh search prompt structure for a single word, wherein the logic processor still includes a font conversion mode, that is, the displayed mesh group structure and text have different types, styles, Color change. As described in item 1 of the scope of the patent application, the hierarchical relational mesh search prompt structure for a single word, wherein the logical processor still includes a creation mode: that is, manually editing and typing the conceived words, words, sentences, paragraphs, Stories, lyrics or dialogues, and even use this mode to create new words. For example, the hierarchical relational web search prompt structure of the word described in the first scope of the patent application, when the user clicks on a word, other words that are the same as the specific string in the word are displayed. As described in item 1 of the scope of the patent application, the hierarchical related web search prompt structure of a word, wherein when the user clicks a word, the logical processor will display the words related to the word according to the built-in data in the word library , Sentences, stories, or lines. As described in item 1 of the scope of the patent application, the hierarchical relational net search prompt structure of a word, wherein when the net word group structure is formed according to the alphabetical order, it is the uppermost word in the net word group structure. Specify a main code, and then give a single sub-code behind the main code to the branch formed by the single word according to the network word group structure, and then give a bit after the sub-code according to the order of the text under the branch The secondary encoding. As shown in item 16 of the scope of the patent application, the hierarchically-associated mesh search prompt structure of a single word is used for encoding according to the rank of the single word. As shown in item 1 of the scope of the patent application, the single-word hierarchical relational mesh search prompt structure, wherein the logic operator also stores the user's input records in a database for querying and providing to other users. use. The hierarchical relational web search prompt structure of a word as described in item 1 of the scope of patent application, wherein the word store stores words in at least one language. When a user enters a single word, the logic operator still displays the network word group structure of the corresponding language according to the language set by the user. The single-level hierarchical related mesh search prompt structure described in item 1 of the scope of the patent application, wherein the website platform still receives images, pictures or sounds uploaded by users and attaches to the user or the website platform. Related words, sentences, paragraphs, or stories to form a multimedia message containing text and audiovisual information, and to establish a corresponding author identification number.