ScholarGate
Asistent

Compară metode

Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Corpus Concordance Analysis×Analiza Colocațiilor×
DomeniuLingvisticăMineritul textelor
FamilieProcess / pipelineProcess / pipeline
Anul apariției19911990
Autorul originalCorpus linguists (John Sinclair; Paul Baker)Church & Hanks
TipCorpus-based descriptive analysis of word usage in contextStatistical text-mining technique
Sursa seminalăBaker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗
Denumiri alternativeConcordance Analysis, KWIC Analysis, Keyword-in-Context Analysisword association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
Înrudite43
RezumatCorpus 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.Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus.
ScholarGateSet de date
  1. v1
  2. 3 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

Mergi la căutare Descarcă prezentarea

ScholarGateCompară metode: Corpus Concordance Analysis · Collocation Analysis. Preluat la 2026-06-24 de pe https://scholargate.app/ro/compare