Slipping Through the Cracks in e-Lexicography
Bibliographic Data
| ID | 12205142 |
|---|---|
| Authors | Ana Frankenberg-Garcia (University of Surrey), Ana Frankenberg‐Garcia (0000-0001-9623-7990, University of Surrey, corresponding author), Geraint Paul Rees (0000-0002-9204-8073, University of Surrey), Robert Lew (0000-0002-6772-210X, Adam Mickiewicz University ([email protected])) |
| Year | 2020 |
| Volume | 34 |
| Issue | 2 |
| Pages | 206-234 |
| Publication date | 2020-08-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Lexicography (JOURNAL) |
| Journal identifiers | ISSN: 0950-3846 • E-ISSN: 1477-4577 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/ijl/ecaa022 |
| OpenAlex | W3107724107 |
| Language | EN |
| Citations received | 8 |
| References cited | 17 |
Despite the remarkable advances made in recent years to facilitate the lexicographer’s work of interpreting and synthesizing the complexity of language uncovered by corpora, an uncritical use of cutting-edge corpus tools and resources can instill a false sense of assurance. In this paper, authentic examples pertaining to wordlist use, collocation research and example selection that arose when compiling a real-world lexical database are discussed through the lens of problems that can easily slip through the cracks in e-lexicography. In doing so, we emphasize the importance of solid training and sound lexicographic judgment when using corpora, corpus tools and corpus-derived resources, and provide an opportunity to reflect on how e-lexicography can be further refined in the future
Collocation (remote sensing · Lexical Database · Lexicographical order · Lexicography · Linguistics · Machine learning · Natural language processing · Selection (genetic algorithm · Vocabulary · Computer Science · Lexicography and Language Studies · Mathematics · Natural Language Processing Techniques · Second Language Acquisition and Learning · Artificial Intelligence · Philosophy
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| Citations per year | 1.6 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |