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  2. Distributional semantics - Wikipedia

    en.wikipedia.org/wiki/Distributional_semantics

    The distributional hypothesis is the basis for statistical semantics. Although the Distributional Hypothesis originated in linguistics, [4] [5] it is now receiving attention in cognitive science especially regarding the context of word use. [6]

  3. Distributionalism - Wikipedia

    en.wikipedia.org/wiki/Distributionalism

    Distributionalism can be said to have originated in the work of structuralist linguist Leonard Bloomfield and was more clearly formalised by Zellig S. Harris. [1] [3]This theory emerged in the United States in the 1950s, as a variant of structuralism, which was the mainstream linguistic theory at the time, and dominated American linguistics for some time. [4]

  4. Immediate constituent analysis - Wikipedia

    en.wikipedia.org/wiki/Immediate_constituent_analysis

    In linguistics, Immediate Constituent Analysis (ICA) is a syntactic theory which focuses on the hierarchical structure of sentences by isolating and identifying the constituents. While the idea of breaking down sentences into smaller components can be traced back to early psychological and linguistic theories, ICA as a formal method was ...

  5. Latent semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Latent_semantic_analysis

    Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

  6. Statistical semantics - Wikipedia

    en.wikipedia.org/wiki/Statistical_semantics

    This assumption is known in linguistics as the distributional hypothesis. [3] Emile Delavenay defined statistical semantics as the "statistical study of the meanings of words and their frequency and order of recurrence". [ 4 ] "

  7. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .

  8. Complementary distribution - Wikipedia

    en.wikipedia.org/wiki/Complementary_distribution

    In linguistics, complementary distribution (as distinct from contrastive distribution and free variation) is the relationship between two different elements of the same kind in which one element is found in one set of environments and the other element is found in a non-intersecting (complementary) set of environments.

  9. Contrastive distribution - Wikipedia

    en.wikipedia.org/wiki/Contrastive_distribution

    In morphology, two morphemes are in contrastive distribution if they occur in the same environment, but have different meanings.. For example, in Korean, noun phrases are followed by one of the various markers that indicate syntactic role: /-ka/, /-i/, /-(l)ul/, etc. /-ka/ and /-i/ are in complementary distribution.