Abstract
Existing dictionaries may help collocation translation by suggesting associated words in the form of collocations, thesaurus, and example sentences. We propose to enhance them with task-driven word associations, illustrating the need by a few scenarios and outlining a possible approach based on word embedding. An example is given, using pre-trained word embedding, while more extensive investigation with more refined methods and resources is underway.- Anthology ID:
- 2020.cogalex-1.14
- Volume:
- Proceedings of the Workshop on the Cognitive Aspects of the Lexicon
- Month:
- December
- Year:
- 2020
- Address:
- Online
- Venue:
- CogALex
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 112–116
- Language:
- URL:
- https://aclanthology.org/2020.cogalex-1.14
- DOI:
- Cite (ACL):
- Oi Yee Kwong. 2020. Translating Collocations: The Need for Task-driven Word Associations. In Proceedings of the Workshop on the Cognitive Aspects of the Lexicon, pages 112–116, Online. Association for Computational Linguistics.
- Cite (Informal):
- Translating Collocations: The Need for Task-driven Word Associations (Kwong, CogALex 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.cogalex-1.14.pdf