Abstract
We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext. After arguing that the task remains relevant even in an end-to-end paradigm, we present simple, dictionary- and word vector-based baselines and a BERT-based system. Our results make clear that even state of the art systems relying on the best end-to-end methods can be improved by bringing in old-fashioned methods such as stopword removal, lemmatization, and dictionaries- Anthology ID:
- 2020.lrec-1.448
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3635–3639
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.448
- DOI:
- Cite (ACL):
- Ádám Kovács, Judit Ács, Andras Kornai, and Gábor Recski. 2020. Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3635–3639, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Better Together: Modern Methods Plus Traditional Thinking in NP Alignment (Kovács et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/2020.lrec-1.448.pdf