Multi-way, multilingual neural machine translation


Firat O., Cho K., Sankaran B., YARMAN VURAL F. T. , Bengio Y.

COMPUTER SPEECH AND LANGUAGE, cilt.45, ss.236-252, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 45
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.csl.2016.10.006
  • Dergi Adı: COMPUTER SPEECH AND LANGUAGE
  • Sayfa Sayıları: ss.236-252

Özet

We propose multi-way, multilingual neural machine translation. The proposed approach enables a single neural translation model to translate between multiple languages, with a number of parameters that grows only linearly with the number of languages. This is made possible by having a single attention mechanism that is shared across all language pairs. We train the proposed multi-way, multilingual model on ten language pairs from WMT'15 simultaneously and observe clear performance improvements over models trained on only one language pair. We empirically evaluate the proposed model on low-resource language translation tasks. In particular, we observe that the proposed multilingual model outperforms strong conventional statistical machine translation systems on Turkish-English and Uzbek-English by incorporating the resources of other language pairs. (C) 2016 Elsevier Ltd. All rights reserved