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Measure of Textual Lexical Diversity (MTLD)×N-gram Analysis×
OblastLingvistikaLingvistika
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka20051999
TvoracPhilip M. McCarthyCorpus linguists (Douglas Biber; lexical bundles tradition)
TipLength-robust index of lexical diversityFrequency analysis of contiguous word sequences
Temeljni izvorMcCarthy, 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
Drugi naziviMTLD, Measure of Textual Lexical Diversity, Sequential TTR Factor MeasureLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis
Srodne44
SažetakThe 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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ScholarGateUporedite metode: Measure of Textual Lexical Diversity (MTLD) · N-gram Analysis. Preuzeto 2026-06-24 sa https://scholargate.app/sr/compare