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Measure of Textual Lexical Diversity (MTLD)×N-gram Analysis×
المجالعلم اللغةعلم اللغة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20051999
صاحب الطريقةPhilip M. McCarthyCorpus linguists (Douglas Biber; lexical bundles tradition)
النوعLength-robust index of lexical diversityFrequency analysis of contiguous word sequences
المصدر التأسيسيMcCarthy, 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 ↗Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254
الأسماء البديلةMTLD, Measure of Textual Lexical Diversity, Sequential TTR Factor MeasureLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis
ذات صلة44
الملخصThe Measure of Textual Lexical Diversity (MTLD) is a length-robust index of vocabulary richness introduced by Philip McCarthy in 2005 and validated by McCarthy and Jarvis in 2010. Rather than computing a single ratio over the whole text, MTLD reads the text word by word, tracking a running type-token ratio, and counts how many sequential word runs are needed before the ratio repeatedly falls to a criterion value of 0.720. The mean length of those runs, computed forward and backward and averaged, is the MTLD score — and in validation studies it was the one common index that did not vary systematically with text length.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.
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ScholarGateقارن الطرق: Measure of Textual Lexical Diversity (MTLD) · N-gram Analysis. استُرجع بتاريخ 2026-06-24 من https://scholargate.app/ar/compare