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A Study of Long Sentence Parsing in English-chinese Machine Translation

Author: LiHongYi
Tutor: YeHuiJun
School: Hebei University
Course: English Language and Literature
Keywords: Machine translation Long sentence Sentence analysis FAHQMT From right to left to find the first analysis algorithms
CLC: H085
Type: Master's thesis
Year: 2010
Downloads: 180
Quote: 0
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Abstract


Machine translation after a decades-long development and evolution, with information technology and computer technology continues to improve research on machine translation from the original simple combination of linguistics and computational science disciplines slowly into integration of semantics, mathematics, Corpus, computing science, artificial intelligence, and a comprehensive study of the biological sciences field. To date, however, the quality of the translation machine translation still can not achieve the desired level. Especially in long sentences deal with the problem on computers and other related sciences has been a qualitative leap over a dozen years ago, long sentences, however, to deal with this problem is still an insurmountable obstacle in the field of machine translation research. The processing of the long sentence different from the word query. Word query only query words Words of the reduction and restore the Words of conduct compared with the entries in the database search you can easily find the corresponding translation and restore Words of conversion rules for existing The technical level is very easy. In contrast, in order to carry out the analysis and processing of the long sentence, word-level information than is needed not only, but also need to distinguish between the various sentence structures and relationship to identify which relates to the ambiguity processing, word related to the long-range sentence related to a series of problems, such as the clause contains the phrase, phrase contains clauses, main, clause parenthesis separated so. Whether all these complex sentence structure relationship can be successfully identify and successfully converted by the rules as a normal word order target language machine translation development a key issue is the constraints. Because the types of English literature, English long sentences as long as the number of rows is extremely common, if the long sentence is not handled properly, would severely affect the quality and readability of machine translation. With increasing China's economic and social development, the face of huge foreign materials translation needs serious shortage of translation forces, which seriously affect the efficiency of fast access to information resources. To solve this problem, the machine translation will undoubtedly become more feasible method! Therefore, the problem of how to properly deal with the English long sentences in the machine translation system become the key issues of China's information technology strategy. This paper studies the content is to start from the study of the history of the development of machine translation and its basic methods, and thus this stage machine translation system analysis methods to analyze the system structure, and then the long sentence analysis and related key issues discussed. Chapter analysis from a long sentence basic principles and methods, the definition of long sentences and identify long sentences analytical difficulties and basic processing method and to long sentences handling existing machine translation system to start the machine translation of long sentences Dictionary The design and structure of a detailed analysis of the study. The study also tentative improvements for the most important resource in the machine translation system structure - machine dictionary as well as a long sentence analysis algorithm and illustrated by examples show. The last part of the paper mainly elaborates the researchers conducting the learning and research process in machine translation held views and attitudes, and a tentative analysis of trends and their likely impact of machine translation forecast.

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CLC: > Language, writing > Linguistics > Applied Linguistics > Machine Translation
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