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Mindmap

Corpus

Jenny Valdez Spanisch

Inhalt der Mindmap

Corpus

  1. Collection of texts

    • Large
    • Computer readable
    • Designed for linguistic analysis
  2. Applications

    • Depend on
      • Desing of corpora
      • Observational methods of analysis
      • Interpretation of analysis
    • Translation studies
    • Stylistics
    • Forensic linguistics
    • Cultural representation & key words
    • Psycholinguistics
    • Theoretical linguistics
  3. Modern corpora & software

    • Principles
      • Observer must not influence what is observed
      • Repeated events are significant
    • Available corpora
      • 1960s --> 1990 (First generation)
        • Small but carefully designed
      • Carefully designed REFERENCE corpora
    • Corpus design
      • Must be balanced
      • Must include consideranble data
        • Running words
        • Size of the audience for the text in corpus
      • Must combine
        • Large general corpora
        • Small corpora for specific knowledge
        • Opportunistic text collections
    • Some types of corpora (according to process)
      • Raw
      • Lemmatized
      • Annotated
  4. Empirical linguistics

    • Computer technology is essential
    • Requires observation
      • No single method
      • Uses concordances
        • Concordance lines
        • Concordance data
  5. New findings & descriptions

    • Word frequency
      • Varies according text-types
      • May have differences senses
      • Requires interpretation by material designers & teachers
      • AWL can be used as a guide
    • Phrase frequency
      • Determines word frequency
      • Phrase-like units
        • Basic units of meaning
    • Phrases
      • Collocations
        • 1, 2, or 3 words co-occurring frequently
      • Recurrent phrases
        • Frequent multi-word strings
          • Identified using computer programs
            • Identify patterns
    • Semantic prefence, discourse prosody, and extended lexical units
      • Collocation
      • Colligation
      • Semantic preference
      • Discourse prosody
      • Strength & attraction between nodes & collocates
      • Position of nodes & collocates
      • Distribution
    • Grammar, co-text, and text-types
      • Corpus can reveal characteristics
        • Type-token ratio
        • Lexical density
        • % of everyday & academic vocabulary

Informationen

Beschreibung
mapa mental sobre corpus lingüístico
Erstellt von
Jenny Valdez
Aufrufe
33
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