| Téléchargement | - Voir le manuscrit accepté : Batch tuning strategies for statistical machine translation (PDF, 595 Kio)
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| Auteur | Rechercher : Cherry, Colin1; Rechercher : Foster, George1 |
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| Affiliation | - 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 | North American Chapter of the Association for Computational Linguistics: Human Language Technologies - (HLT-NAACL 2012), Montreal, QC, June 3-8, 2012 |
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| Résumé | There has been a proliferation of recent work on SMT tuning algorithms capable of handling larger feature sets than the traditional MERT approach. We analyze a number of these algorithms in terms of their sentence-level loss functions, which motivates several new approaches, including a Structured SVM. We perform empirical comparisons of eight different tuning strategies, including MERT, in a variety of settings. Among other results, we find that a simple and efficient batch version of MIRA performs at least as well as training online, and consistently outperforms other options. |
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| Date de publication | 2012-06-08 |
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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 | 20262877 |
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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 | 1101df04-9f92-4758-a257-3a8457183e06 |
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| Enregistrement créé | 2012-07-10 |
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| Enregistrement modifié | 2020-04-21 |
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