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- W2616327899 abstract "This paper presents an approach combining lexical-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT). This study is made through the enrichment of a well-known MT evaluation metric : METEOR. METEOR enables an approximate match (synonymy or morphological similarity) between an automatic and a reference translation. Our experiments are made in the framework of the Metrics task of WMT 2014. We show that distributed representations are less efficient than lexical-semantic resources for MT evaluation but they can nonetheless bring interesting additional information." @default.
- W2616327899 created "2017-05-26" @default.
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- W2616327899 date "2016-07-01" @default.
- W2616327899 modified "2023-09-27" @default.
- W2616327899 title "Word2Vec vs DBnary ou comment (ré)concilier représentations distribuées et réseaux lexico-sémantiques ? Le cas de l’évaluation en traduction automatique" @default.
- W2616327899 hasPublicationYear "2016" @default.
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