2025
NAACL
NAACL 2025
Syntagmatic Productivity of MWEs in Scientific English
Abstract
AbstractThis 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.
🌉
Interdisciplinary Bridge
— Interdisciplinary and Natural Language Processing
🧭
Keyword Pioneer
— syntagmatic productivity
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing