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vocd-D (D Measure)×N-gram Analysis×
FagfeltLingvistikkLingvistikk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår20041999
OpphavspersonDavid Malvern & Brian RichardsCorpus linguists (Douglas Biber; lexical bundles tradition)
TypeLength-robust index of lexical diversityFrequency analysis of contiguous word sequences
Opprinnelig kildeMalvern, D., Richards, B., Chipere, N., & Durán, P. (2004). Lexical Diversity and Language Development: Quantification and Assessment. Palgrave Macmillan. ISBN: 9781403902313Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254
Aliasvocd-D, D Measure, vocd, HD-DLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis
Relaterte44
Sammendragvocd-D, also called the D measure, is a length-robust index of lexical diversity developed by David Malvern and Brian Richards. Instead of reporting a single type-token ratio, it characterizes how a text's TTR falls as sample size grows and fits that empirical curve to a one-parameter probabilistic model; the fitted parameter D is the diversity score, with higher D meaning richer vocabulary. HD-D, introduced by McCarthy and Jarvis, is the mathematically exact, sampling-free counterpart that computes the same underlying quantity directly from the hypergeometric distribution.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.
ScholarGateDatasett
  1. v1
  2. 3 Kilder
  3. PUBLISHED
  1. v1
  2. 3 Kilder
  3. PUBLISHED

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ScholarGateSammenlign metoder: vocd-D (D Measure) · N-gram Analysis. Hentet 2026-06-25 fra https://scholargate.app/no/compare