@inproceedings{b7160e63a27143e196b0a586dd3401b6,
title = "NYU-MILA Neural Machine Translation Systems for WMT'16",
abstract = "We describe the neural machine translation system of New York University (NYU) and University of Montreal (MILA) for the translation tasks of WMT'16. The main goal of NYU-MILA submission to WMT'16 is to evaluate a new character-level decoding approach in neural machine translation on various language pairs. The proposed neural machine translation system is an attention-based encoder-decoder with a subword-level encoder and a character-level decoder. The decoder of the neural machine translation system does not require explicit segmentation, when characters are used as tokens. The character-level decoding approach provides benefits especially when translating a source language into other morphologically rich languages.",
author = "Junyoung Chung and Kyunghyun Cho and Yoshua Bengio",
note = "Publisher Copyright: {\textcopyright} 2016 Association for Computational Linguistics.; 1st Conference on Machine Translation, WMT 2016, held at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "268--271",
booktitle = "Shared Task Papers",
}