Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms

Jingshu Liu, Emmanuel Morin, Peña Saldarriaga


Abstract
Extracting a bilingual terminology for multi-word terms from comparable corpora has not been widely researched. In this work we propose a unified framework for aligning bilingual terms independently of the term lengths. We also introduce some enhancements to the context-based and the neural network based approaches. Our experiments show the effectiveness of our enhancements of previous works and the system can be adapted in specialized domains.
Anthology ID:
C18-1242
Volume:
Proceedings of the 27th International Conference on Computational Linguistics
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2855–2866
Language:
URL:
https://aclanthology.org/C18-1242
DOI:
Bibkey:
Cite (ACL):
Jingshu Liu, Emmanuel Morin, and Peña Saldarriaga. 2018. Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2855–2866, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms (Liu et al., COLING 2018)
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PDF:
https://preview.aclanthology.org/auto-file-uploads/C18-1242.pdf
Code
 Dictanova/term-eval