The Semantic Network of “See” (A Corpus-Based Study)
Bibliographic Data
| ID | 22352500 |
|---|---|
| Authors | Tsvetalina Aneva (0000-0002-1193-420X, Shumen University, corresponding author) |
| Year | 2017 |
| Volume | 07 |
| Pages | 22-35 |
| Publication date | 2017-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in Linguistics, Culture, and FLT (JOURNAL) |
| Journal identifiers | ISSN: 2534-952X • E-ISSN: 2534-9538 |
| Publisher | Department of English Studies, Faculty of Humanities, Konstantin Preslavsky University of Shumen (PUBLISHER) |
| DOI | 10.46687/silc.2019.v07.002 |
| OpenAlex | W3038053857 |
| Language | EN |
| Citations received | 2 |
| References cited | 7 |
The research presents a corpus study of the perception verb see, which aims at highlighting the complex behaviour of eight of the most frequent patterns drawn from the Corpus of Contemporary American English. The paper examines how the meanings of the verb change according to the relationship between human vision and cognition. The descriptions and analyses in this study are usage-based and organized according to the contexts in which the verb appears
Information retrieval · Linguistics · Natural language processing · Semantic network · Categorization, perception, and language · Computer Science · Language and cultural evolution · Language, Metaphor, and Cognition · Philosophy · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,22 |
| Citation span | 2017 - 2020 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |