{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/word2vec-vs-dbnary-augmenting-meteor-using","title":"Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?","arxiv_id":"1610.01291","date":"2016-10-05","proceeding":"COLING 2016 12","authors":["Christophe Servan","Alexandre Berard","Zied Elloumi","Hervé Blanchon","Laurent Besacier"],"abstract":"This paper presents an approach combining lexico-semantic resources and\ndistributed representations of words applied to the evaluation in machine\ntranslation (MT). This study is made through the enrichment of a well-known MT\nevaluation metric: METEOR. This metric enables an approximate match (synonymy\nor morphological similarity) between an automatic and a reference translation.\nOur experiments are made in the framework of the Metrics task of WMT 2014. We\nshow that distributed representations are a good alternative to lexico-semantic\nresources for MT evaluation and they can even bring interesting additional\ninformation. The augmented versions of METEOR, using vector representations,\nare made available on our Github page.","url_abs":"http://arxiv.org/abs/1610.01291v1","url_pdf":"http://arxiv.org/pdf/1610.01291v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"word2vec-vs-dbnary-augmenting-meteor-using","repo_url":"https://github.com/cservan/METEOR-E","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1610.01291","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}