Using distributional semantics to study syntactic productivity in diachrony
A case study
Datos Bibliográficos
| ID | 3989802 |
|---|---|
| Autores | Florent Perek (0000-0003-4592-9967, University of Basel, autor de correspondencia) |
| Año | 2016 |
| Volumen | 54 |
| Número | 1 |
| Fecha de publicación | 2016-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Linguistics (JOURNAL) |
| Identificadores de la revista | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Editorial | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling-2015-0043 |
| OpenAlex | W2548716632 |
| Idioma | EN |
| Citas recibidas | 42 |
| Referencias citadas | 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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| Obras citantes distintas | 42 |
|---|---|
| Citas por año | 3,82 |
| Intervalo de citas | 2015 - 2026 (12) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 42 |