Abstract
The paper contains the description of a semi-authomatic method for the detection of typologically relevant semantic shifts in the world’s languages. The algorithm extracts colexified pairs of meanings from polysemous words in digitised bilingual dictionaries. A machine learning classifier helps to separate those semantic shifts that are relevant to the lexical typology. Clustering is applied to group similar pairs of meanings into semantic shifts.
| Original language | English |
|---|---|
| Pages (from-to) | 172-180 |
| Number of pages | 9 |
| Journal | Komp'juternaja Lingvistika i Intellektual'nye Tehnologii |
| Issue number | 22 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 2023 Annual International Conference on Computational Linguistics and Intellectual Technologies, Dialogue 2023 - Virtual, Online Duration: 14 Jun 2023 → 16 Jun 2023 |
Bibliographical note
Publisher Copyright:© Dialogue 2023.All rights reserved.
Keywords
- computational semantics
- Lexical typology
- NLP
- polysemy
- semantic shifts
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