UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation

Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, Yi Lu, Shuo Li, Yiming Wang, Longyue Wang

Abstract
Parallel corpus is a valuable resource for cross-language information retrieval and data-driven natural language processing systems, especially for Statistical Machine 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 NLP2CT website.
Anthology ID:
L14-1604
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1837–1842
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/774_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, Yi Lu, Shuo Li, Yiming Wang, and Longyue Wang. 2014. UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1837–1842, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation (Tian et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/774_Paper.pdf
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