Syntagmatic Productivity of MWEs in Scientific English

Diego Alves, Stefan Fischer, Elke Teich


Abstract
This paper presents an analysis of the syntagmatic productivity (SynProd) of different classes of multiword expressions (MWEs) in English scientific writing over time (mid 17th to 20th c.). SynProd refers to the variability of the syntagmatic context in which a word or other kind of linguistic unit is used. To measure SynProd, we use entropy. The study reveals that, similar to single-token units of various parts of speech, MWEs exhibit an increasing trend in syntagmatic productivity over time, particularly after the mid-19th century. Furthermore, when compared to similar parts of speech (PoS), MWEs show a more pronounced increase in SynProd over time.
Anthology ID:
2025.mwe-1.1
Volume:
Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025)
Month:
May
Year:
2025
Address:
Albuquerque, New Mexico, U.S.A.
Editors:
Atul Kr. Ojha, Voula Giouli, Verginica Barbu Mititelu, Mathieu Constant, Gražina Korvel, A. Seza Doğruöz, Alexandre Rademaker
Venues:
MWE | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–6
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.mwe-1.1/
DOI:
Bibkey:
Cite (ACL):
Diego Alves, Stefan Fischer, and Elke Teich. 2025. Syntagmatic Productivity of MWEs in Scientific English. In Proceedings of the 21st Workshop on Multiword Expressions (MWE 2025), pages 1–6, Albuquerque, New Mexico, U.S.A.. Association for Computational Linguistics.
Cite (Informal):
Syntagmatic Productivity of MWEs in Scientific English (Alves et al., MWE 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.mwe-1.1.pdf