Evaluating a 12-Million-Word Corpus as a Source of Dictionary Data
Bibliographic Data
| ID | 12205149 |
|---|---|
| Authors | Beata Wójtowicz (0000-0002-8819-3219, University of Warsaw, corresponding author) |
| Year | 2017 |
| Publication date | 2017-06-22 |
| Open Access | No |
| 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/ecx011 |
| OpenAlex | W2744018652 |
| Language | EN |
| References cited | 4 |
In this paper, we aim to evaluate the 12-million-word Helsinki Corpus of Swahili as a source of dictionary data used, among others, for the creation of the lemma list for a new Swahili-Polish dictionary. We analyse the dictionary log-files in order to answer a question already asked by De Schryver et al. (2006), Koplenig et al. (2014) and Trap-Jensen (2014) about whether dictionary users actually look up frequent words. However, the issue of utmost importance to us is whether a ten-thousand-item frequency list derived from a 12-million-word corpus meets the needs of a Swahili-Polish dictionary user
Corpus linguistics · Linguistics · Natural language processing · Word (group theory · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Natural Language Processing Techniques · Artificial Intelligence · Philosophy
| Highly cited | No |
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