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| N-gram Analysis× | Kollokációelemzés× | |
|---|---|---|
| Tudományterület≠ | Nyelvtudomány | Szövegbányászat |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1999 | 1990 |
| Megalkotó≠ | Corpus linguists (Douglas Biber; lexical bundles tradition) | Church & Hanks |
| Típus≠ | Frequency analysis of contiguous word sequences | Statistical text-mining technique |
| Alapmű≠ | Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254 | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ |
| Alternatív nevek | Lexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) |
| Kapcsolódó≠ | 4 | 3 |
| Összefoglaló≠ | N-gram analysis is a corpus-linguistic technique that extracts and ranks every contiguous sequence of n words (or characters) in a corpus, exposing the recurrent multi-word units — two-word bigrams, three-word trigrams, and longer 'lexical bundles' — that make up a register or text type. By counting how often each sequence recurs, it reveals the prefabricated, formulaic backbone of language that single-word frequency lists cannot capture. | Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus. |
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