KR970066941A - Multilingual translation system using token separator - Google Patents

Multilingual translation system using token separator Download PDF

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Publication number
KR970066941A
KR970066941A KR1019960007606A KR19960007606A KR970066941A KR 970066941 A KR970066941 A KR 970066941A KR 1019960007606 A KR1019960007606 A KR 1019960007606A KR 19960007606 A KR19960007606 A KR 19960007606A KR 970066941 A KR970066941 A KR 970066941A
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KR
South Korea
Prior art keywords
token
reference word
grammar
translation system
token separator
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KR1019960007606A
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Korean (ko)
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KR100198959B1 (en
Inventor
최운천
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양승택
한국전자통신연구원
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Priority to KR1019960007606A priority Critical patent/KR100198959B1/en
Publication of KR970066941A publication Critical patent/KR970066941A/en
Application granted granted Critical
Publication of KR100198959B1 publication Critical patent/KR100198959B1/en

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Abstract

The present invention relates to a multilingual translation system using a token separator. In order to make one concept correspond to one word, words having a significant influence on the definition of a concept are defined as a reference word, and a token separator In order to provide a multilingual translation system installed at the front end of an interpreter, a first step (31,32) of separating input sentences using a token separator by a token separator when a source language sentence is inputted; A second step 33 of interpreting the primitive language using the conceptual structure; And a third step (34,35) of translating the analysis result into the target language and simultaneously generating and outputting the target language. The concept is clarified, the size of the analysis and generation grammar can be remarkably reduced, The processing speed can be improved, and the grammar writer who writes the grammar can write the grammar much more easily and quickly.

Description

Multilingual translation system using token separator

Since this is a trivial issue, I did not include the contents of the text.

FIG. 3 is a flow chart of a multilingual translation system according to the present invention; FIG. 4 is a flowchart of a token separation method according to the present invention; FIG.

Claims (2)

In a multilingual translation system using a conceptual structure, when a source language sentence is input, a first step (31,32) of separating a sentence input by a token separator using a reference word into tokens; A second step 33 of interpreting the primitive language using the conceptual structure; And a third step (34,35) of translating the analysis result into the target language and generating and outputting the target language. The method according to claim 1, wherein the token separation process of the first step (31, 32) comprises the steps of: searching a reference word by using a reference word dictionary (13) for each word A fourth step (42, 43) for judging whether or not there is an abnormality; If it is determined in the fourth step 42 or 43 that the reference word exists, a fifth step of separating the token using the reference word and cutting out the reference word and repeating the fourth step 42 and 43 44); A sixth step (45) of outputting a separate token list if there is no more reference word as a result of the fourth step (42, 43); And a seventh step (46) of repeating the fourth step (42,43) to the sixth step (45) for all sentences inputted. ※ Note: It is disclosed by the contents of the first application.
KR1019960007606A 1996-03-20 1996-03-20 Language translation method KR100198959B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1019960007606A KR100198959B1 (en) 1996-03-20 1996-03-20 Language translation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1019960007606A KR100198959B1 (en) 1996-03-20 1996-03-20 Language translation method

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KR970066941A true KR970066941A (en) 1997-10-13
KR100198959B1 KR100198959B1 (en) 1999-06-15

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KR1019960007606A KR100198959B1 (en) 1996-03-20 1996-03-20 Language translation method

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19980066877A (en) * 1997-01-29 1998-10-15 김광호 Morphological interpretation based on types of unregistered words
KR20020046558A (en) * 2000-12-15 2002-06-21 이천우 System and method for realtime based automatic market relationship analysis using text type information
KR100459300B1 (en) * 2000-05-22 2004-12-03 인터내셔널 비지네스 머신즈 코포레이션 Method, system, and program for parameter expansion, generation and execution of scripts in a networked environment

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102354898B1 (en) * 2019-05-29 2022-01-24 경희대학교 산학협력단 Vocabulary list generation method and device for Korean based neural network language model

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19980066877A (en) * 1997-01-29 1998-10-15 김광호 Morphological interpretation based on types of unregistered words
KR100459300B1 (en) * 2000-05-22 2004-12-03 인터내셔널 비지네스 머신즈 코포레이션 Method, system, and program for parameter expansion, generation and execution of scripts in a networked environment
KR20020046558A (en) * 2000-12-15 2002-06-21 이천우 System and method for realtime based automatic market relationship analysis using text type information

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KR100198959B1 (en) 1999-06-15

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