Sequence-to-sequence neural network models for transliteration

Code

• github.com/googlei18n/transliteration
  OfficialIn papernone★ 0

Abstract

Transliteration is a key component of machine translation systems and software internationalization. This paper demonstrates that neural sequence-to-sequence models obtain state of the art or close to state of the art results on existing datasets. In an effort to make machine transliteration accessible, we open source a new Arabic to English transliteration dataset and our trained models.

Tasks

Reproductions