| Téléchargement | - Voir la version finale : Representation based translation evaluation metrics (PDF, 542 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.3115/v1/P15-2025 |
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| Auteur | Rechercher : Chen, Boxing1; Rechercher : Guo, Hongyu1 |
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| Affiliation du nom | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Article |
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| Conférence | The 53rd Annual Meeting of the Association for Computational Linguistics and the 7the International Joint Conference on Natural Language Processing, July 26-31, 2015, Beijing, China |
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| Résumé | Precisely evaluating the quality of a translation against human references is a challenging task due to the flexible word ordering of a sentence and the existence of a large number of synonyms for words. This paper proposes to evaluate translations with distributed representations of words and sentences. We study several metrics based on word and sentence representations and their combination. Experiments on the WMT metric task shows that the metric based on the combined representations achieves the best performance, outperforming the state-of-the-art translation metrics by a large margin. In particular , training the distributed representations only needs a reasonable amount of mono-lingual, unlabeled data that is not necessary drawn from the test domain. |
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| Date de publication | 2015 |
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| Maison d’édition | Association for Computational Linguistics |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23001598 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 809f1ba9-a11b-47d8-950b-39292e695ddb |
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| Enregistrement créé | 2017-03-09 |
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| Enregistrement modifié | 2020-05-30 |
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