KR20130125912A - System and method for making markup language for searching dictionary - Google Patents

Abstract

Disclosed are a system and a method for generating a set of dictionary search information for a sentence, a word, an idiom, and contents as a markup language which is used in the whole terminal. The sentence, the word, and the idiom are extracted from sentences consisting of a first language. The contents are translated by using a second language. The system for generating the dictionary search markup language comprises an input/output unit for inputting the sentence and outputting the markup language; a sentence processing unit which extracts words and combines/divides sentences when inputted data is an image; a word extraction unit which analyzes and extracts the morphemes of the word and the idiom; a dictionary database which searching the word used for the sentence in a dictionary; and a markup generation unit which writes a result by using the markup language.

Description

Dictionary search markup language generation system and method {SYSTEM AND METHOD FOR MAKING MARKUP LANGUAGE FOR SEARCHING DICTIONARY}

The present invention provides a system for generating a markup language that can be used in all wired and wireless terminals anytime, anywhere, dictionary search information for sentences, words and idioms extracted from a document consisting of a first language and sentences translated into a second language; It relates to a method, and more specifically, merges and separates input documents composed of a plurality of English sentences by each sentence to extract translation sentences matching each sentence, words and idioms belonging to each sentence, and audio information of sentences and vocabulary. The present invention relates to a system and a method for generating a markup language that can be generated by all terminals.

Recently, with the rapid development of information and communication, an educational environment using a new type of terminal has emerged. In particular, the distribution of wired and wireless environments and computers and portable terminals provide an environment where learning can be performed anytime and anywhere.

In particular, with the development of information and communication, with the development of machine translation, many areas of language translation have been made. However, some languages have a lot of difficulties in machine translation depending on the characteristics of the language, and there are many differences in reliability due to translation errors and inaccuracies.

For example, English and French machine translations are more reliable than Korean-English translations. This is because the quality of the translation is determined by the order of the languages. Similarly, Korean-Japanese translation provides better translation than Korean-English translation.

Therefore, machine translation between languages of different environments should be helped by words and idioms. And the result of machine translation is machine translation in text form, and human translation is also provided in text form, so from the learner's point of view, it is inconvenient to learn only through document (paper) language learning.

Therefore, it is necessary to provide a multimedia and ubiquitous environment that can be learned in wired and wireless terminals by writing not only paper but also markup language of the translated results and the information of the word idiom used in the original text. have.

The present invention has been made in view of the above, and the dictionary search information for the sentences, words and idioms extracted from the document consisting of the first language and sentences translated into the second language, anytime, anywhere in all wired and wireless terminals Its purpose is to provide a system and method for creating a markup language that can be used.

Another object of the present invention, by separating and merging the input document consisting of a plurality of English sentences for each sentence to extract the translation sentences matched with each sentence and the words and idioms belonging to each sentence, to generate audio information of the sentence and vocabulary And it provides a system and method for generating a markup language operable in all terminals.

Another object of the present invention is to examine the level of all the words used in the input sentence system and method that can achieve the desired purpose by improving the learning efficiency by not providing words and idioms lower than the sentence level To provide.

It is still another object of the present invention to separate and merge input sentences by sentence at a glance, support voice for each sentence, word, idiom, and provide a cloud service that provides a multimedia environment service and overcomes space and time constraints. To provide a system and method for generating a markup language to provide.

According to an aspect of the present invention, there is provided a dictionary search markup language generation system comprising: an input / output unit for inputting a sentence and outputting a markup language; A sentence processing unit for separating and merging each sentence in the input document; Vocabulary extraction unit for analyzing the morphemes forming each sentence and extracting words and idioms; Dictionary database for dictionary search of the vocabulary used in the sentence; And a markup generator for writing the result in a markup language.

The input / output unit may include an input / output unit for receiving a plurality of sentences and outputting a result written in a markup language; A text extractor (OCR) for extracting characters when the plurality of sentences are images; And a transmitter that transmits the markup language to the server.

The sentence processing unit may include a code converter configured to synchronize a character code system representing the input sentence; A sentence separator for separating and merging sentences in transcoded text form for each sentence; And a translator for automatically translating each separated sentence.

The lexical extracting unit may further include: a morpheme analyzer configured to analyze morphemes used in sentences separated and arranged into the sentence; A word idiom extractor for extracting separated words, fixed idioms and variable idioms through morphological analysis; And a sentence level checker which grasps the level of the sentence and the document according to the level of words and idioms used in the sentence.

The dictionary database may further include a word dictionary defining levels of all the words; An idiom dictionary for recording and managing fixed idioms or variable idioms; And an audio dictionary for recording and managing voice of words and idioms.

In addition, the markup language generation unit of the present invention comprises: an audio generator for generating audio speech for each separated sentence; A form generator for outputting sentences of the first language, translated second languages, words and idiom information, and audio files in the form of sentences or paragraphs according to a user wired / wireless terminal environment; And a markup generator for writing in a markup language in a format usable by all wired and wireless terminals.

On the other hand, the method for generating a dictionary search markup language for achieving the object of the present invention, a) inputting a first language to be written markup language or a second language to be translated / to be; b) separating and merging each sentence unit in the input document or translating it into a second language; c) separating and extracting words and idioms from the arranged sentences; d) determining the level of documents and sentences according to the level of words used in the sentence and excluding words and idioms below the level of the sentence; e) generating pronunciation audio of the separated sentences, words, idioms; f) generating the result of refined and extracted words, idioms, sentences, audio and translations in markup language; And g) transmitting the markup language to the server so that the markup language can be used in all the wired and wireless terminals using the network.

According to a preferred embodiment of the present invention, when the first language input in step a) is a document written in an image, a pdf file, or the like, text may be converted using a document extractor.

In addition, when inputted as a text sentence in step b), it may include a code conversion and a special character change and removal, etc. in order to unify the way of expressing the characters for effective dictionary search, the inputted first language or second According to the arrangement of the language may further comprise the step of separating into a first language, a second language.

In addition, the extraction of words and idioms in the step c) may generate a prototype in the case of a derivative type (past, present, present, present, participle, etc.) instead of a circular type, and in the case of idioms, fixed idioms (eg, , in order to) and variable idioms (e.g. achieving one's goals).

The method may further include defining levels of the input documents and sentences based on the levels of words and idioms used in the sentence in step d) and excluding words and idioms below the defined level.

The method may further include generating a voice file according to the sentence separated in step e).

The method may further include an output form having various output forms according to a user's request, a characteristic of a terminal, and a sentence form in order to generate the markup language in step f).

The method may further include transmitting a result generated in the markup language in step g) to a remote server for use anytime, anywhere as well as the user terminal.

According to an embodiment of the present invention, effective learning can be provided by providing dictionary search information for words and idioms that are sentence elements that translate from a first language to a second language to those who learn a language other than the mother tongue. In addition, the information is generated in a markup language, which can be used for various wired and wireless terminals at the level indicated by a document, thereby providing a three-dimensional education environment that can be learned anytime and anywhere.

In particular, since language is important for speech, it is possible to obtain a multimedia educational effect by providing pronunciation and dictionary information according to a sentence composed of a second language.

In addition, according to another embodiment of the present invention, by performing a dictionary search for all words and idioms used in a sentence to define the level of documents and sentences, and excludes words and idioms below the sentence level information tailored to the language level of the user There is also an effect that allows users to learn effectively.

1 is a diagram schematically showing an interworking relationship between a system for generating a dictionary search markup language and a network according to another embodiment of the present invention.
2 is a block diagram schematically showing the overall configuration of a dictionary search markup language generation system according to an embodiment of the present invention;
3 is a block diagram showing an input / output unit configuration of a pre-search markup language generation system;
4 is a block diagram showing the structure of a sentence processing unit of a dictionary search markup language generation system;
5 is a block diagram showing the configuration of the lexical extraction unit of the dictionary search markup language generation system;
6 is a block diagram showing the configuration of a dictionary database of a dictionary search markup language generation system;
7 is a block diagram showing a configuration of a markup language generation unit of a dictionary search markup language generation system;
8 is a flowchart for schematically explaining a method for generating a dictionary search markup language;
9 is a flowchart illustrating an input document arrangement and translation method in a dictionary search markup language generation method;
10 is a flowchart illustrating a morphological analysis and a vocabulary extraction method and a sentence, word and idiom level checking method among dictionary search markup language generation methods;
11 is a flowchart for explaining a markup language generation method in a dictionary search markup language generation method;
12 is a view showing an example of markup languages written for each sentence in the result of the method for generating a dictionary search markup language;
FIG. 13 is a view showing an example of markup languages prepared for each paragraph among results of the method for generating a pre-search markup language;
FIG. 14 is a diagram illustrating an example of a markup language written with words and idioms extracted from an input document among results of a method of generating a dictionary search markup language.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. It should be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Also, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning of the context in the relevant art and, unless explicitly defined herein, are to be interpreted as ideal or overly formal Do not.

As shown in FIG. 1, the pre-search markup language generation system according to an embodiment of the present invention may be a markup language generation system embedded in different platforms based on the terminal itself. It can be a markup language generation system based on input. The markup language output from the system can be operated in all heterogeneous terminals.

Typically, information in words, idioms and text forms is written in markup language and voices for words and idioms are connected and serviced in hypertext form. However, whenever a sentence is used selectively, it can be used to create an audio file and to use the audio generation system. The pre-search markup language generation system according to an embodiment of the present invention may be configured for a server and a terminal. For example, in the case of configuring for a server, when sentences input from different platform terminals 10 are transmitted to the server 30 through the wired or wireless network 20, the pre-search markup language generation system is started on the server, and the resulting mark is displayed. The markup language is stored in the server and the markup language is stored in all heterogeneous terminals.

In addition, when configuring the terminal type, directly input to the dictionary search markup language generation system stored in the specific terminal 10 and output the result can be used in itself or transmitted to the server 30 can be used in all heterogeneous terminals (10) You can also do that.

As shown in FIG. 2, the pre-search markup language generation system is inputted with the first language, which is the original text, or the second language to be translated / to be managed, and manages the output of the result, and transmits the markup language, which is the final result, to the server. An input / output unit 100 configured as a transmitter, a sentence processing unit 200 for separating and merging the input first language into sentence units, a vocabulary extraction unit 300 for extracting words and idioms used in sentences, a word dictionary And a idiom dictionary database 400, a markup language generator 500, and the like, which can utilize the phrases, words, idiom information and voice information in all terminals.

As illustrated in FIG. 3, the input / output unit 100 may include a case where a first language to be input is input alone, a case where a first language and a second language to be translated / to be translated are input, or a text form. Input and output unit 101 composed of an input to process a variety of input methods and output to represent the results generated in the markup language, the character extractor 102 to extract characters from the input image when the input form is input as an image And a transmitter 103 for transmitting a result generated in a markup language to a server so that it can be used in all types of terminals.

In the present invention, the input form may be variously input such as text, image, pdf, etc. and may extract characters from the input document by using an optical character reader (OCR).

As shown in FIG. 4, the sentence processing unit 200 separates and merges a plurality of input sentences, a code converter 201 that executes code conversion to synchronize the code of all input documents with a markup language generation system. And a sentence separator 202, a translator 203 for translating the second language when only the first language is input.

As shown in FIG. 5, the lexical extracting unit 300 analyzes the morphemes constituting the separated sentences, and extracts words and idioms. The idiom extractor 301 extracts words and idioms, and analyzes the levels of the extracted words. A sentence level checker 302 or the like is provided for limiting the output when it is lower than the level of words used in this sentence.

As shown in FIG. 6, the dictionary database 400 records a word dictionary 401, a fixed idiom form and a variable idiom form that define and record a word meaning, a phonetic symbol, a part-of-speech, a prototype, and a word level. An idiom dictionary 402 for managing, an audio dictionary 403 for recording and managing audio and voice files for words and idioms, and the like.

As shown in FIG. 7, the markup language generator 500 generates an audio file 501 for a sentence, and generates various environments such as computer, internet, and mobile according to the user environment. An output form generator 502 configured to be used in the terminal form, and a markup language generator 503 for generating a markup language that can be operated in each terminal form.

In the present invention, the audio generator 501 may generate an audio-voice file for a sentence by using a text-to-speech (TTS).

Hereinafter, the dictionary search markup language generation method of the present invention will be described.

The dictionary search markup language generation system of the present invention may be operated from a user terminal or remotely from a server. The result can also be stored and used in the markup language on the user's terminal and can be sent to a server for use on different platform terminals anytime, anywhere.

8 is a schematic flowchart illustrating a method for generating a dictionary search markup language according to the present invention. With reference to this, the execution procedure for generating markup language is as follows. A first language for creating a markup language is input (S810). It can also be entered as an image or PDF file rather than in text form. In the case of non-text form, an optical character reader (OCR) can be used to extract characters from the input document.

The inputted language may be separated and merged in units of sentences in the input document, and the inputted first language may need to be translated into the second language. In this case, the translation may be performed using a machine translator (S820). When the input sentence is input to both the first language and the second language, the translator does not need to be executed, and the first language and the second language may be separated from each other.

The first language according to an embodiment of the present invention may be English or Korean. The second language may also be English or Korean, but the first and second languages should be different.

In order to separate the sentences, the input sentences are not divided into each sentence. Therefore, in the computer machine language representing the sentences, the input document is removed by removing and separating special characters that the user cannot identify such as line feed (LF) and page separator. It means to separate and merge each sentence.

The words and idioms composing the sentence are classified from the arranged sentences and searched in the dictionary database and the idiom database. (S830)

The word and idiom database defines each level. In the case of words, there are circular words and derivative words. The dictionary database further includes generating a prototype when the dictionary database includes almost all words but in some cases there are no derivative words to be searched.

The level of words and idioms used in a sentence can determine the level of the sentence. For example, if the sentence entered is “In many areas, the housing market also suffered, resulting in numerous evictions, foreclosures and prolonged unemployment.” The words used in these sentences are eviction, foreclosure, housing. In the case of a word such as a housing market or a prolonged unemployment, the sentence is not considered to be at the elementary and junior high school level. Therefore, the words below the middle school level are in, many, areas, the, Also, suffer, and etc may be excluded from the search and extraction.

Therefore, the level of words and idioms used in the sentence presents a basis for judging the level of the sentence and excludes words and idioms lower than the level of the sentence (S840).

In order to provide better educational information to learners, pronunciation information is generated and linked for the separated sentences and words and idioms extracted from the sentences. Words and idioms are recorded and managed in an audio database, and hyperlinks are linked. In the case of sentences, an audio-to-speech file can be generated using a text-to-speech (TTS). Each time a connection is made from the server, the service may be generated (S850).

In operation S860, all of the information and audio files of the sentences separated from the input sentences, the words and idioms used in the sentences, and audio files are generated.

The markup language may be generated at the server or at the user terminal. Files created in the markup language can be transferred to a server and recorded for use in all wired and wireless terminals.

A method for generating a dictionary search markup language according to the present invention will be described in detail and step by step.

9 is a flowchart illustrating a method of separating and merging input documents in sentence units in a method of generating a dictionary search markup language according to the present invention.

The input document may be in text form or may be an image or a pdf file. In operation S901, the input document may be determined in a non-text form, and a character may be extracted from the input document using an optical character reader (OCR) (S902). Code of all the input documents executes code conversion in order to synchronize with the markup language generation system (S903). For example, you can convert from ASCII to UTF-8 or vice versa.

The input sentence may be input only with the first language or with the second language. That is, the case where only the first language is input may be a case where translation is required, and the case where English is input as the first language and the translated second language is input is when the translation is not necessary in the present invention. Therefore, when the first language and the second language are input, they are first separated from each other by language, and since each of the separated languages is input in document units, they are separated by sentences (S904). In order to separate the sentences, the input document is not divided into each sentence. Therefore, in the computer machine language that expresses the sentence, the input document is removed by removing and separating special characters that the user cannot identify such as line feed (LF) and page separator. Each sentence is divided (S905). If only the first language is entered, the input document performs machine translation for each of the separated sentences (S906).

In addition, the sentences of the first language and the second language which are transcoded, separated and merged are translated from the original text and the translated text by 1: 1 mapping the original text and the translated text (S907). These original texts and translations may be output as respective original texts / translations (FIG. 12), or may be displayed in separate paragraphs of the original text in paragraph units (FIG. 13). It is also possible to generate only words and idioms in the markup language that are above the sentence level for all input sentences (Fig. 14).

FIG. 10 is a flowchart illustrating a method of searching and extracting words and idioms through morphological analysis of words and idioms used in a separated and merged sentence in the dictionary search markup language generation method according to the present invention.

The morpheme analysis divides the words used in the sentence into spaces (SACE) as delimiters (S1001) and proceeds with a dictionary and idiom search based on the separated morphemes. Since words can be divided into prototypes and derived words, all words recorded and maintained in the dictionary database are difficult to have perfectly derived words. Morphological analysis is performed to express information-meaning, level, phonetic symbols, etc. (S1002). In the case of idioms, search separately from the idiom dictionary.

For example, in order to is classified as in, order, to through stemming, but it can be searched in the idiom dictionary because it is an idiom that has meaning in in order to itself. In the present invention, the above form is referred to as a fixed idiom, and in the case of achieve one's goal, the achieve may be changed to achieves, achieved, achieving, and the like. Also, since one's is a broad word, it has a structure that can be extended to possessives such as his and her and his great. Goals can also be expressed in plural goals.

Therefore, in order to extract a idiom of a variable structure having a variety of variations, the preliminary idiom using the words used in the idioms of the above example is searched (S1003) and the actual idiom is extracted from the searched idioms (S1004). Compound nouns can also be extracted in the same way because there are spaces between words.

By checking the level of all extracted words and idioms, the frequency of sentences can be predicted by checking the frequency of use of each word. The word and idiom dictionary manages the level definition record (S1005). For example, basic words such as a, an, the, he, his, she, I, am, prepositions, etc. are included in basic words, like, love, etc. are elementary words, accept, pardon, etc. are middle school words, engrave , vegetarian, etc. can be classified into higher words and eviction, foreclosure, housing market, and prolonged unemployment.

Therefore, it is determined whether the extracted words are words below the sentence level (S1006), and since a plurality of university words appear in the example sentence, basic words, elementary words, and middle school words are excluded, and information consisting of words and idioms of high school level or higher is determined. Indexing (S1007).

In addition, indexed words and idioms eliminate duplication and, in the case of derived words, are printed with prototypes to enhance the learning effect. Words and idioms can be separated from each other or printed together.

11 is a flowchart illustrating a method of generating a markup language in a dictionary search markup language generation system and method according to the present invention.

First, a native speaker audio file is generated for the separated sentences. (S1101) An audio file may be directly generated and maintained as an audio voice for a sentence using a text-to-speech (TTS). Text-to-speech converters on servers across the network can also generate and service voice as needed.

Since audio files of words and idioms are recorded and managed in a word idiom audio database, it is possible to manage the connection by hyperlinks without generating a separate audio file (S1102).

Markup languages are made available to different terminal environments. The environment of the terminal can be made variously according to the size of the screen, the operating system, the audio support environment, etc. The user can select the output type, and can be automatically generated according to the output type suitable for all terminal environments (S1103).

Segmented sentences, audio files of sentences, searched words and idiom information, and audio file hyperlinks are generated in a markup language according to the type of the terminal (S1104).

The file generated in the markup language may be generated and maintained by the user terminal, and the generated markup language may be transmitted to the server and stored and managed in order to receive the service in a usable state in all terminals (S1105).

Due to the development of information and communication, various terminals are spreading. The information operated by the computer may be operated according to the operating system in various forms in addition to the mobile terminal, but may not be compatible with each other depending on the operating system and environment of each terminal.

Therefore, by creating a markup language that can be used in all terminals, it provides accessibility to language learning by providing an environment that can be used by any terminal anytime, anywhere.

In the above, the present invention has been described by way of example. The terminology used herein is for the purpose of description and should not be regarded as limiting. Various modifications and variations of the present invention are possible in light of the above teachings. Therefore, unless otherwise stated, the present invention may be freely implemented within the scope of the claims.

100; I / O 101; I / O
102; Extractor 103; Transmitter
200; sentence processing unit 201; code converter
202; Sentence Separator 203; Machine Translator
300; lexical extraction unit 301; morphological analyzer
302; Idiom extractor 303; Sentence level checker
400; dictionary database 401; word dictionary
402; Idiom dictionary 403; Audio dictionary
500; markup language generator 501; audio generator
502; output form generator 503; markup language generator

Claims (24)

An input / output unit which transmits an apparatus for inputting and outputting one or more words or a plurality of sentences and a markup language to a server;
A sentence processing unit for separating and merging the input document into sentences;
A lexical extraction unit for analyzing morphemes from the divided sentences and extracting words and idioms;
A dictionary database for recording the word, idiom and idiom audio files; And
And a markup language generator for generating the separated sentences, the audio file of the sentence, the information of the searched words and idioms, the audio file, the hyperlink, and the like in a markup language according to the form of the terminal. Markup Language Generation System. The method of claim 1, wherein the input and output unit,
An input / output unit for inputting / outputting various input methods such as when the input first language is input alone, when the first language and the translated second language are input, or when the input language is a text;
A character extractor extracting characters from the input image when the input form is input in a non-text form such as an image or a pdf; And
And a transmitter for transmitting the result generated in the markup language to a server to be used in all types of terminals. The method of claim 1, wherein the sentence processing unit,
A code converter for performing code conversion to synchronize code of all the input documents with a markup language generation system;
A sentence separator for separating and merging the input plurality of sentences;
And a translator for translating the second language when only the first language is input. The method of claim 1, wherein the vocabulary extraction unit,
A morpheme analyzer for analyzing the morphemes constituting the separated sentences to distinguish the prototype and the derived word and to generate a prototype;
A word idiom extractor for extracting the analyzed word and idiom from a word and an idiom dictionary; And
And a sentence level checker which analyzes the level of the extracted word and excludes the level of the used word if the level of the used word is lower than the level of the word used in the sentence. The method of claim 1, wherein the dictionary database,
A word dictionary for defining and recording the basic meaning, prototype, and word level of the word;
An idiom dictionary for recording and managing the fixed idiom form and the variable idiom form; And
And an audio dictionary for recording and managing an audio-voice file for the word and idioms. The method of claim 1, wherein the markup language generation unit,
An audio generator for generating an audio file for the sentence;
An output form generator configured in the form of a terminal to allow the generation of the markup language to be used in various environments such as a computer, the Internet, and a mobile device according to a user environment; And
And a markup language generator for generating a markup language that can be operated in each terminal type. The method of claim 1,
The pre-search markup language generation system may generate and use a markup language in one user terminal and pre-search markup, which may be independently operated by recording and managing the server to be used in all model terminals through a network. Language generation system. a) inputting a first language or a translated second language in which a markup language is to be written;
b) separating and merging each sentence in the input document;
c) translating to the second language if only the first language is input;
d) separating and extracting words and idioms from the separated and merged sentences;
e) excluding words and idioms below any level according to the level of words used in the sentence;
f) generating pronunciation audio of the separated and merged sentences, words, idioms; And
g) generating a result of words, idioms, sentences, audio, and translations in a markup language. 9. The method of claim 8,
Method for generating a pre-search markup language, characterized in that the document input by the step a) accommodates a variety of input forms, such as images, PDF files, not text or text. 9. The method of claim 8,
Generating a pre-search markup language, wherein the first language and the second language are separated and merged for each input language when the sentence input by step a) includes both the first language and the translated second language. Way. 9. The method of claim 8,
The code of all documents input by step a) is performed to perform code conversion to synchronize with the markup language generation system. 9. The method of claim 8,
Pre-search markup, characterized in that by separating and merging into separate sentences by removing and separating the special characters that can not be identified by the user, such as line feed (LF), page separators from the sentences entered in step b) How to create a language. 9. The method of claim 8,
And c) machine translation into a second language if the sentence input in step c) is only the first language. The method according to claim 10 or 13,
And a first language sentence and a second language sentence, if the first language and the second language are configured as 1: 1. 9. The method of claim 8,
And dividing the words and idioms from the sentence arranged in step d) if the words are derived. 16. The method of claim 15,
Method for generating a dictionary search markup language, characterized in that for extracting both the fixed and variable idioms. 9. The method of claim 8,
And determining the level of the sentence based on the level of all words and idioms searched and extracted by the step e) and excluding the words and idioms below the sentence level. 18. The method of claim 17,
Method for generating a dictionary search markup language, characterized in that the index of words and phrases above the sentence level. 9. The method of claim 8,
Generating a pronunciation audio file of the sentences, words and idioms separated by step f) and linking the audio dictionary with a hyperlink by using the dictionary search markup language generation method. 20. The method of claim 19,
The method of claim 1, further comprising the step of generating a markup language according to the characteristics of various terminals. 9. The method of claim 8,
Method for generating a dictionary search markup language, characterized in that the step of generating a sentence and / or translated sentences, words above the sentence level, idioms, audio files, etc., separated and refined by the step g). 9. The method of claim 8,
Method for generating a pre-search markup language, characterized in that the markup language generated by the steps a) to g) generated in the user terminal to record the markup language The method of claim 22,
Method for generating a pre-search markup language, characterized in that for transmitting the markup language generated by the user terminal to the server for use in various terminals to record. 9. The method of claim 8,
Method for generating a pre-search markup language, characterized in that for generating the markup language generated in the step a) to g) at the server and to record.

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