Maximum-entropy word alignment and posterior-based phrase extraction for machine translation
- Author
- TOMEH, Nadi1 ; ALLAUZEN, Alexandre1 ; YVON, François1
[1] LIMSI-CNRS, Université Paris-Sud 11, 91400 Orsay, France - Source
Machine translation. 2014, Vol 28, Num 1, pp 19-56, 38 p ; ref : 3 p.1/4
- ISSN
- 0922-6567
- Scientific domain
- Linguistics
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Discriminative word alignment Phrase table extraction Statistical machine translation
- Keyword (fr)
- Alignement Extraction Linguistique informatique Qualité Traduction automatique Traitement automatique des langues naturelles
- Keyword (en)
- Alignment Extraction Computational linguistics Quality Machine translation Natural language processing
- Classification
- Francis
- 524 Linguistics / 524-68 Applied linguistics / 524-75 Translation / 524-77 Machine translation
- Discipline
- Linguistics
- Origin
- Inist-CNRS
- Database
- FRANCIS
- INIST identifier
- 28589038
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s10590-013-9146-4 
https://dx.doi.org/10.1007/s10590-013-9146-4
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