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
- Venue:
- DiscoMT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 54–57
- Language:
- URL:
- https://aclanthology.org/W17-4806
- DOI:
- 10.18653/v1/W17-4806
- Cite (ACL):
- Sebastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017. Neural Machine Translation for Cross-Lingual Pronoun Prediction. In Proceedings of the Third Workshop on Discourse in Machine Translation, pages 54–57, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Neural Machine Translation for Cross-Lingual Pronoun Prediction (Jean et al., DiscoMT 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W17-4806.pdf