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Multi-word discourse markers and their corpus-driven identification : the case of MWDM extraction from the reference corpus of spoken SloveneDobrovoljc, KajaWith expanding evidence on the formulaic nature of human communication, there is a growing need to extend discourse marker research to functionally analogue multi-word expressions. In contrast to the ... common qualitative approaches to discourse marker identification in corpora, this paper presents a corpus-driven semi-automatic approach to identification of multi-word discourse markers (MWDMs) in the reference corpus of spoken Slovene. Using eight statistical measures, we identified 173 structurally fixed discourse-marking MWEs, distinguished by a high number of tokens, a large proportion of grammatical words and semantic heterogeneity. This is a significantly longer list than would have been gained by manual inspection of smaller corpus samples. Although frequency-based methods produced satisfactory results, best precision in MWDM identification was achieved using the t-score association measure, while the overall poor performance of the mutual information suggests its inadequacy for extraction of MWDMs and other MWEs with similar lexical and distributional features.Source: International journal of corpus linguistics. - ISSN 1384-6655 (Vol. 22, issue 4, 2017, str. 551-582)Type of material - article, component part ; adult, seriousPublish date - 2017Language - englishCOBISS.SI-ID - 66144610
Author
Dobrovoljc, Kaja
Topics
slovenščina |
korpusno jezikoslovje |
govorni korpusi |
diskurzni označevalci |
večbesedne enote |
luščenje kolokacij
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source: International journal of corpus linguistics. - ISSN 1384-6655 (Vol. 22, issue 4, 2017, str. 551-582)
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Dobrovoljc, Kaja | 36491 |
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