Communication Dans Un Congrès Année : 2015

LIMSI$@$WMT'15 : Translation Task

Elena Knyazeva
  • Fonction : Auteur
  • PersonId : 1022784
  • IdRef : 230833357
François Yvon

Résumé

This paper describes LIMSI’s submissions to the shared WMT’15 translation task. We report results for French-English, Russian-English in both directions, as well as for Finnish-into-English. Our submissions use NCODE and MOSES along with continuous space translation models in a post-processing step. The main novelties of this year’s participation are the following: for Russian-English, we investigate a tailored normalization of Russian to translate into English, and a two-step process to translate first into simplified Russian, followed by a conversion into inflected Russian. For French-English, the challenge is domain adaptation, for which only monolingual corpora are available. Finally, for the Finnish-to-English task, we explore unsupervised morphological segmentation to reduce the sparsity of data induced by the rich morphology on the Finnish side.

Dates et versions

hal-02912383 , version 1 (05-08-2020)

Identifiants

Citer

Benjamin Marie, Alexandre Allauzen, Franck Burlot, Quoc-Khanh Do, Julia Ive, et al.. LIMSI$@$WMT'15 : Translation Task. Proceedings of the Tenth Workshop on Statistical Machine Translation, Sep 2015, Lisbon, Portugal. pp.145-151, ⟨10.18653/v1/W15-3016⟩. ⟨hal-02912383⟩
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