Semantic maps of causation: What different data types and methods can (and cannot) tell us
| Main Author: | Natalia Levshina |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3675342 |
Daftar Isi:
- The present paper discusses connectivity and proximity maps of causative constructions. In the first part, we show that creation of a connectivity map of causatives is not a trivial task due to incomplete descriptions, inconsistent terminology and the problem of determining the semantic nodes, and propose an innovative data-driven solution based on data from a parallel corpus. The second part of the paper focuses on proximity maps based on Multidimensional Scaling and compares the most important semantic distinctions, which are inferred from typological data and from a parallel corpus of film subtitles. The results suggest that corpus-based maps of tokens are more sensitive to cultural differences in the prominence of specific causation scenarios, such as interpersonal letting and forceful causation, than maps based on constructional types, which are described in reference grammars.