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  2. Collocation extraction - Wikipedia
Collocation extraction - Wikipedia
From Wikipedia, the free encyclopedia
Computational technique to find word sequences

Collocation extraction is the task of using a computer to extract collocations automatically from a corpus.

The traditional method of performing collocation extraction is to find a formula based on the statistical quantities of those words to calculate a score associated to every word pairs. Proposed formulas are mutual information, t-test, z test, chi-squared test and likelihood ratio.[1]

Within the area of corpus linguistics, collocation is defined as a sequence of words or terms which co-occur more often than would be expected by chance. 'Crystal clear', 'middle management', 'nuclear family', and 'cosmetic surgery' are examples of collocated pairs of words. Some words are often found together because they make up a compound noun, for example 'riding boots' or 'motor cyclist' or ‘collocation extraction’ its very self.

See also

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  • Collocational restriction
  • Collostructional analysis
  • Compound noun, adjective and verb
  • Phrasal verb
  • Siamese twins (English language)
  • Terminology extraction
  • n-gram analysis

External links

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Look up collocation in Wiktionary, the free dictionary.
  • What is collocation

References

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  1. ^ Manning, C. D.; Schütze, H. (1999). Foundations of statistical natural language processing. Cambridge, MA: MIT Press. ISBN 978-0-262-13360-9.
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Natural language processing
General terms
  • AI-complete
  • Bag-of-words
  • n-gram
    • Bigram
    • Trigram
  • Computational linguistics
  • Natural language understanding
  • Stop words
  • Text processing
Text analysis
  • Argument mining
  • Collocation extraction
  • Concept mining
  • Coreference resolution
  • Deep linguistic processing
  • Distant reading
  • Information extraction
  • Named-entity recognition
  • Ontology learning
  • Parsing
    • semantic
    • syntactic
  • Part-of-speech tagging
  • Semantic analysis
  • Semantic role labeling
  • Semantic decomposition
  • Semantic similarity
  • Sentiment analysis
  • Terminology extraction
  • Text mining
  • Textual entailment
  • Truecasing
  • Word-sense disambiguation
  • Word-sense induction
Text segmentation
  • Compound-term processing
  • Lemmatisation
  • Lexical analysis
  • Text chunking
  • Stemming
  • Sentence segmentation
  • Word segmentation
Automatic summarization
  • Multi-document summarization
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  • Text simplification
Machine translation
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  • Seq2seq
  • Transformer
  • Word embedding
  • Word2vec
Language resources,
datasets and corpora
Types and
standards
  • Corpus linguistics
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  • Machine-readable dictionary
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  • Semantic network
  • Simple Knowledge Organization System
  • Speech corpus
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Data
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Topic model
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Computer-assisted
reviewing
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Natural language
user interface
  • Chatbot
  • Interactive fiction
  • Question answering
  • Virtual assistant
  • Voice user interface
Related
  • Formal semantics
  • Hallucination
  • Natural Language Toolkit
  • spaCy


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This article about natural language processing is a stub. You can help Wikipedia by adding missing information.

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