Identifying Metadata-Specific Collocations in Text Corpora
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | Proceedings of Electronic Lexicography in the 21st Century Conference (7th Biennial Conference on Electronic Lexicography, eLex 2021) |
| MU Faculty or unit | |
| Citation | |
| Keywords | collocations; corpus; meta-data; text types; word sketch |
| Description | Statistical corpus analysis of collocations is one of the important steps in creating a dictionary entry: collocations may distinguish senses, describe typical phrasemes and idioms and outline the whole picture of a word's behaviour. However, some collocations are domain-specific, typical only in particular contexts, and thus far there has been no easy way to distinguish “general” collocations from those that are predominantly typical in particular domains. In this paper, we present a tool which allows lexicographers to see typical domains in which a particular collocation occurs. We introduce a statistical procedure based on corpus metadata to identify domain-specific collocations in an intuitive way, and we also present a user interface connected to the word sketch feature of the Sketch Engine corpus interface (Kilgarriff et al., 2014a). The new feature can be used in the manual inspection of collocation lists, as well as when using the API or in a semi-automatic post-editing scenario of building a dictionary. |
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