TY - GEN
T1 - Bilingual terminology mining - Using brain, not brawn comparable corpora
AU - Morin, E.
AU - Daille, B.
AU - Takeuchi, K.
AU - Kageura, K.
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Current research in text mining favours the quantity of texts over their quality. But for bilingual terminology mining, and for many language pairs, large comparable corpora are not available. More importantly, as terms are defined vis-à-vis a specific domain with a restricted register, it is expected that the quality rather than the quantity of the corpus matters more in terminology mining. Our hypothesis, therefore, is that the quality of the corpus is more important than the quantity and ensures the quality of the acquired terminological resources. We show how important the type of discourse is as a characteristic of the comparable corpus.
AB - Current research in text mining favours the quantity of texts over their quality. But for bilingual terminology mining, and for many language pairs, large comparable corpora are not available. More importantly, as terms are defined vis-à-vis a specific domain with a restricted register, it is expected that the quality rather than the quantity of the corpus matters more in terminology mining. Our hypothesis, therefore, is that the quality of the corpus is more important than the quantity and ensures the quality of the acquired terminological resources. We show how important the type of discourse is as a characteristic of the comparable corpus.
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M3 - Conference contribution
AN - SCOPUS:41149088978
SN - 9781932432862
T3 - ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics
SP - 664
EP - 671
BT - ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics
T2 - 45th Annual Meeting of the Association for Computational Linguistics, ACL 2007
Y2 - 23 June 2007 through 30 June 2007
ER -