Neural Machine Translation for Cross-Lingual Pronoun Prediction

Sebastien Jean, Stanislas Lauly, Orhan Firat, Kyunghyun Cho


Abstract
In this paper we present our systems for the DiscoMT 2017 cross-lingual pronoun prediction shared task. For all four language pairs, we trained a standard attention-based neural machine translation system as well as three variants that incorporate information from the preceding source sentence. We show that our systems, which are not specifically designed for pronoun prediction and may be used to generate complete sentence translations, generally achieve competitive results on this task.
Anthology ID:
W17-4806
Volume:
Proceedings of the Third Workshop on Discourse in Machine Translation
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venues:
DiscoMT | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
54–57
Language:
URL:
https://www.aclweb.org/anthology/W17-4806
DOI:
10.18653/v1/W17-4806
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-4806.pdf