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N-gram Analysis×Corpus Concordance Analysis×
المجالعلم اللغةعلم اللغة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة19991991
صاحب الطريقةCorpus linguists (Douglas Biber; lexical bundles tradition)Corpus linguists (John Sinclair; Paul Baker)
النوعFrequency analysis of contiguous word sequencesCorpus-based descriptive analysis of word usage in context
المصدر التأسيسيBiber, 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
الأسماء البديلةLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence AnalysisConcordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
ذات صلة44
الملخصN-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.
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ScholarGateقارن الطرق: N-gram Analysis · Corpus Concordance Analysis. استُرجع بتاريخ 2026-06-24 من https://scholargate.app/ar/compare