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UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation
Tian, Liang1; Derek F. Wong1; Lidia S. Chao1; Paulo Quaresma1,2; Francisco Oliveira1; Yi Lu1; Li, S1; Wang, YM1; Wang, LY1
2014
Conference Name9th International Conference on Language Resources and Evaluation (LREC)
Source PublicationLREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Conference DateMAY 26-31, 2014
Conference PlaceReykjavik, ICELAND
Abstract

摘要

Parallel corpus is a valuable resource for cross-language information retrieval and data-driven natural language processing systems, especially for StatisticalMachine Translation (SMT). However, most existing parallel corpora to Chinese are subject to in-house use, while others are domain specific and limited in size. To a certain degree, this limits the SMT research. This paper describes the acquisition of a large scale and high quality parallel corpora for English and Chinese. The corpora constructed in this paper contain about 15 million English-Chinese (E-C) parallel sentences, and more than 2 million training data and 5,000 testing sentences are made publicly available. Different from previous work, the corpus is designed to embrace eight different domains. Some of them are further categorized into different topics. The corpus will be released to the research community, which is available at the (NLPCT1)-C-2 website.

KeywordEnglish-chinese Parallel Corpus Different Domains Statistical Machine Translation
Indexed BySCI
Language英语
WOS Research AreaLinguistics
WOS SubjectLinguistics ; Language & Linguistics
WOS IDWOS:000355611003072
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Document TypeConference paper
专题Faculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Univ Macau
2.Univ Evora
First Author AffilicationUniversity of Macau
推荐引用方式
GB/T 7714
Tian, Liang,Derek F. Wong,Lidia S. Chao,et al. UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation[C],2014.
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