Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коллокационный анализ× | Лексическое разнообразие× | |
|---|---|---|
| Область | Интеллектуальный анализ текста | Интеллектуальный анализ текста |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990 | — |
| Автор метода≠ | Church & Hanks | — |
| Тип≠ | Statistical text-mining technique | Text quantification / lexical richness measurement |
| Основополагающий источник≠ | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ | McCarthy, P. M. & Jarvis, S. (2010). MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior Research Methods, 42(2), 381-392. DOI ↗ |
| Другие названия | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) | lexical richness, vocabulary richness, Sözcüksel Çeşitlilik Analizi |
| Связанные | 3 | 3 |
| Сводка≠ | 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. | Lexical diversity analysis quantifies how varied the vocabulary of a text is — how rich an author's word choice is — using measures such as the type-token ratio (TTR), MTLD, vocd-D, and Yule's K. The MTLD and vocd-D measures were validated by McCarthy and Jarvis (2010), building on earlier work by Tweedie and Baayen (1998) on the stability of lexical-richness measures. |
| ScholarGateНабор данных ↗ |
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