Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task

Tommi Pirinen


Abstract
In this paper we describe a rule-based, bi-directional machine translation system for the Finnish—English language pair. The baseline system was based on the existing data of FinnWordNet, omorfi and apertium-eng. We have built the disambiguation, lexical selection and translation rules by hand. The dictionaries and rules have been developed based on the shared task data. We describe in this article the use of the shared task data as a kind of a test-driven development workflow in RBMT development and show that it suits perfectly to a modern software engineering continuous integration workflow of RBMT and yields big increases to BLEU scores with minimal effort.
Anthology ID:
W19-5336
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
335–341
Language:
URL:
https://aclanthology.org/W19-5336
DOI:
10.18653/v1/W19-5336
Bibkey:
Cite (ACL):
Tommi Pirinen. 2019. Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 335–341, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task (Pirinen, WMT 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-5336.pdf
Poster:
 W19-5336.Poster.pdf