Using distributional semantics to study syntactic productivity in diachrony
A case study
Bibliographic Data
| ID | 3989802 |
|---|---|
| Authors | Florent Perek (0000-0003-4592-9967, University of Basel, corresponding author) |
| Year | 2016 |
| Volume | 54 |
| Issue | 1 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling-2015-0043 |
| OpenAlex | W2548716632 |
| Language | EN |
| Citations received | 42 |
| References cited | 33 |
This paper investigates syntactic productivity in diachrony with a data-driven approach. Previous research indicates that syntactic productivity (the property of grammatical constructions to attract new lexical fillers) is largely driven by semantics, which calls for an operationalization of lexical meaning in the context of empirical studies. It is suggested that distributional semantics can fulfill this role by providing a measure of semantic similarity between words that is derived from lexical co-occurrences in large text corpora. On the basis of a case study of the construction "V
Context (archaeology) · Distributional semantics · Lexical choice · Lexical item · Lexical Semantics · Linguistics · Meaning (existential) · Natural language processing · Operationalization · Productivity · Programming language · Semantic similarity · Semantics (computer science) · Similarity (geometry) · Syntax · Artificial Intelligence · Computer Science · History · Language and cultural evolution · Natural Language Processing Techniques · Psychology · Topic Modeling
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| Unique citing works | 42 |
|---|---|
| Citations per year | 3,82 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 42 |