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Meteor Universal: Language Specific Translation Evaluation for Any Target Language

Open access
Denkowski, Michael, Lavie, Alon·2014·Proceedings of the Ninth Workshop on Statistical Machine Translation

Abstract

This paper describes Meteor Universal, released for the 2014 ACL Workshop on Statistical Machine Translation.Meteor Universal brings language specific evaluation to previously unsupported target languages by (1) automatically extracting linguistic resources (paraphrase tables and function word lists) from the bitext used to train MT systems and (2) using a universal parameter set learned from pooling human judgments of translation quality from several language directions.Meteor Universal is shown to significantly outperform baseline BLEU on two new languages, Russian (WMT13) and Hindi (WMT14).

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Metadata

Authors
Denkowski, M., & Lavie, A.
Venue
Proceedings of the Ninth Workshop on Statistical Machine Translation
Published
2014
Pages
376-380
OpenAlex
W2133459682
Cited by
1,952
References
1
FWCI
58.11
Type
conference paper
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Meteor Universal: Language Specific Translation Evaluation for Any Target Language. https://app.cochat.ai/papers/10.3115/v1/w14-3348
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Denkowski, M., & Lavie, A. (2014). Meteor Universal: Language Specific Translation Evaluation for Any Target Language. Proceedings of the Ninth Workshop on Statistical Machine Translation. https://doi.org/10.3115/v1/w14-3348

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