DOCUMENT TRANSLATION APPARATUS AND METHOD

• US 20100094615A1
• Filed: 06/15/2009
• Published: 04/15/2010
• Est. Priority Date: 10/13/2008
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Seo, Younge Ae, Kim, Cheng Hyun, Park, Sang Kyu, Lee, Ki Young, Kwon, Oh Woog, Kim, Young Kil, Jin, Yun, Yin, Changhao, Park, Eun Jin, Roh, Yoon Hyung, Choi, Sung Kwon, Yang, Seong Il, Wu, Ying Shun
• Application Number:
  US12/484,550
• Publication Number:
  US 20100094615A1
• Time in Patent Office: Days
• US Class Current: 704/2
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06F 40/55 Rule-based translation

Abstract

A document translation apparatus includes a document processing module for analyzing associative relations between nouns or noun phrases within an input document to be translated to generate analysis information on texts; and a document translation module for selecting target words for the respective texts in reference to the text analysis information to generate morphemes corresponding to the target words, thereby producing a translated document corresponding to the input document.

Claims

1. A document translation apparatus comprising:

a document processing module for analyzing associative relations between nouns or noun phrases within an input document to be translated to generate analysis information on texts; and

a document translation module for selecting target words for the respective texts in reference to the text analysis information to generate morphemes corresponding to the target words, thereby producing a translated document corresponding to the input document.

2. The document translation apparatus of claim 1, wherein the document processing module includes:

a tagging unit for analyzing morphemes of the texts in the input document and performing morphological tagging; and

a text analysis unit for extracting statistical information about the nouns in the tagged input document, and providing the text analysis information, wherein the nouns are sorted by occurrence frequency of each noun.

3. The document translation apparatus of claim 2, wherein the document processing module further includes:

a preprocessing unit for performing a pre-tagging processing to recognize numerals and dates within the input document.

4. The document translation apparatus of claim 2, wherein the document processing module further includes:

a tagging adjustment unit for adjusting tagging information of the tagged input document on the basis of the text analysis information to output the input document with the adjusted tagging information.

5. The document translation apparatus of claim 2, wherein the text analysis information includes synonyms, analogues, hypernyms, and hyponyms with respect to the nouns or the noun phrases.

6. The document translation apparatus of claim 5, wherein the text analysis information is obtained by using proper noun dictionary data, partial word matching information, dictionary data for source language to be translated, dictionary data for target language, thesauruses for source language to be translated, and thesauruses for target language.

7. The document translation apparatus of claim 1, wherein the document translation module includes:

a structure analysis unit for analyzing structures of source sentences on the basis of the associative relations between the nouns or the noun phrases within the input document from the document processing module;

a structure transfer unit for transferring the structures of the source sentences into structures of target language sentences;

a target word selection unit for selecting the target words for the respective texts in the structure-transferred sentences in reference to the text analysis information; and

a morpheme generation unit for generating the morphemes corresponding to the selected target words to produce the translated document corresponding to the input document.

8. The document translation apparatus of claim 7, wherein the target word selection unit selects the target words corresponding to the nouns and the noun phrases in the structure-transferred sentences using differential dictionary data, on the basis of the text analysis information.

9. A document translation method comprising:

analyzing morphemes of texts within an input document to be translated to perform morphological tagging;

analyzing associative relations between nouns or noun phrases within the input document to generate text analysis information;

analyzing structures of source sentences in the input document with the adjusted tagging information, on the basis of the text analysis information;

transferring the structures of the source sentences into structures of target language sentences; and

selecting target words for the respective texts within the structure-transferred sentences in reference to the text analysis information to generate morphemes corresponding to the target words, thereby producing a translated document corresponding to the input document.

10. The document translation method of claim 9, further comprising:

adjusting tagging information of the tagged document on the basis of the text analysis information to produce an input document having the adjusted tagging information.

11. The document translation method of claim 9, wherein said generating the text analysis information includes:

extracting statistical information about the nouns in the input document;

sorting the nouns in the input document by their occurrence frequencies; and

analyzing the associative relations between the nouns or the noun phrases to generate the text analysis information, wherein the associative relations include synonyms, analogues, hypernyms and hyponyms.

12. The document translation method of claim 11, wherein the text analysis information is obtained by using proper noun dictionary data, partial word matching information, English dictionary data, Korean dictionary data, English thesauruses, and Korean thesauruses.

13. The document translation method of claim 9, wherein said selecting the target words includes selecting the target words corresponding to the nouns and the noun phrases in the structure-transferred sentences using differential dictionary data, on the basis of the text analysis information.