Better Together: Modern Methods Plus Traditional Thinking in NP Alignment

Ádám Kovács, Judit Ács, Andras Kornai, Gábor Recski

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
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3635–3639
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.448
DOI:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/2020.lrec-1.448.pdf
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