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N-gram Analysis×Corpus Concordance Analysis×
ОбластЛингвистикаЛингвистика
СемействоProcess / pipelineProcess / pipeline
Година на възникване19991991
СъздателCorpus linguists (Douglas Biber; lexical bundles tradition)Corpus linguists (John Sinclair; Paul Baker)
ТипFrequency analysis of contiguous word sequencesCorpus-based descriptive analysis of word usage in context
Основополагащ източникBiber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
Други названияLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence AnalysisConcordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
Свързани44
РезюмеN-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.Corpus concordance analysis is a core corpus-linguistic technique that retrieves every occurrence of a search word or phrase from a large body of machine-readable text and displays them in keyword-in-context (KWIC) format — the target term aligned in a central column with its surrounding co-text. By reading and sorting these lines, analysts uncover the recurrent patterns, collocations, and meanings of words as they are actually used, grounding linguistic claims in attested evidence rather than introspection.
ScholarGateНабор от данни
  1. v1
  2. 3 Източници
  3. PUBLISHED
  1. v1
  2. 3 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: N-gram Analysis · Corpus Concordance Analysis. Извлечено на 2026-06-25 от https://scholargate.app/bg/compare