| Téléchargement | - Voir la version finale : Bilingual Sense Similarity for Statistical Machine Translation (PDF, 614 Kio)
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| Auteur | Rechercher : Chen, Boxing1; Rechercher : Foster, George1; Rechercher : Kuhn, Roland1 |
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| Affiliation | - Conseil national de recherches Canada. Institut de technologie de l'information du CNRC
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| Format | Texte, Article |
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| Conférence | 48th Annual Meeting of the Association for Computational Linguistics, July 11–16, 2010, Uppsala, Sweden |
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| Sujet | Information and Communications Technologies |
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| Résumé | This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed by using the vector space model. We then apply the algorithms to statistical machine translation by computing the sense similarity between the source and target side of translation rule pairs. Similarity scores are used as additional features of the translation model to improve translation performance. Significant improvements are obtained over a state-of-the-art hierarchical phrase-based machine translation system. |
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| Date de publication | 2010 |
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| Condition d’accès | |
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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 | 15736685 |
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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 | c5a3a3fe-7d31-4f97-9d07-8dda09a155b9 |
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| Enregistrement créé | 2010-07-05 |
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| Enregistrement modifié | 2020-05-27 |
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