CollFrEn: Rich Bilingual English–French Collocation Resource
Beatriz Fisas, Luis Espinosa Anke, Joan Codina-Filbá, Leo Wanner
Abstract
Collocations in the sense of idiosyncratic lexical co-occurrences of two syntactically bound words traditionally pose a challenge to language learners and many Natural Language Processing (NLP) applications alike. Reliable ground truth (i.e., ideally manually compiled) resources are thus of high value. We present a manually compiled bilingual English–French collocation resource with 7,480 collocations in English and 6,733 in French. Each collocation is enriched with information that facilitates its downstream exploitation in NLP tasks such as machine translation, word sense disambiguation, natural language generation, relation classification, and so forth. Our proposed enrichment covers: the semantic category of the collocation (its lexical function), its vector space representation (for each individual word as well as their joint collocation embedding), a subcategorization pattern of both its elements, as well as their corresponding BabelNet id, and finally, indices of their occurrences in large scale reference corpora.- Anthology ID:
- 2020.mwe-1.1
- Volume:
- Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons
- Month:
- December
- Year:
- 2020
- Address:
- online
- Editors:
- Stella Markantonatou, John McCrae, Jelena Mitrović, Carole Tiberius, Carlos Ramisch, Ashwini Vaidya, Petya Osenova, Agata Savary
- Venue:
- MWE
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–12
- Language:
- URL:
- https://preview.aclanthology.org/remove-affiliations/2020.mwe-1.1/
- DOI:
- Cite (ACL):
- Beatriz Fisas, Luis Espinosa Anke, Joan Codina-Filbá, and Leo Wanner. 2020. CollFrEn: Rich Bilingual English–French Collocation Resource. In Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, pages 1–12, online. Association for Computational Linguistics.
- Cite (Informal):
- CollFrEn: Rich Bilingual English–French Collocation Resource (Fisas et al., MWE 2020)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/2020.mwe-1.1.pdf
- Code
- talnupf/collfren