@inproceedings{bouamor-etal-2012-identifying,
title = "Identifying bilingual Multi-Word Expressions for Statistical Machine Translation",
author = "Bouamor, Dhouha and
Semmar, Nasredine and
Zweigenbaum, Pierre",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/886_Paper.pdf",
pages = "674--679",
abstract = "MultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Processing (NLP) especially for Machine Translation (MT). In this paper, we describe a strategy for detecting translation pairs of MWEs in a French-English parallel corpus. In addition we introduce three methods aiming to integrate extracted bilingual MWE S in M OSES, a phrase based Statistical Machine Translation (SMT) system. We experimentally show that these textual units can improve translation quality.",
}
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%0 Conference Proceedings
%T Identifying bilingual Multi-Word Expressions for Statistical Machine Translation
%A Bouamor, Dhouha
%A Semmar, Nasredine
%A Zweigenbaum, Pierre
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F bouamor-etal-2012-identifying
%X MultiWord Expressions (MWEs) repesent a key issue for numerous applications in Natural Language Processing (NLP) especially for Machine Translation (MT). In this paper, we describe a strategy for detecting translation pairs of MWEs in a French-English parallel corpus. In addition we introduce three methods aiming to integrate extracted bilingual MWE S in M OSES, a phrase based Statistical Machine Translation (SMT) system. We experimentally show that these textual units can improve translation quality.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/886_Paper.pdf
%P 674-679
Markdown (Informal)
[Identifying bilingual Multi-Word Expressions for Statistical Machine Translation](http://www.lrec-conf.org/proceedings/lrec2012/pdf/886_Paper.pdf) (Bouamor et al., LREC 2012)
ACL