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  2. Distributional semantics - Wikipedia

    en.wikipedia.org/wiki/Distributional_semantics

    Distributional semantic models differ primarily with respect to the following parameters: Context type (text regions vs. linguistic items) Context window (size, extension, etc.) Frequency weighting (e.g. entropy, pointwise mutual information, [16] etc.) Dimension reduction (e.g. random indexing, singular value decomposition, etc.)

  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] ... Measuring the cohesiveness of text ... Studies in Linguistic Analysis.

  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. Semantic analysis (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Semantic_analysis_(machine...

    Semantic analysis strategies include: Metalanguages based on first-order logic, which can analyze the speech of humans. [1]: 93- Understanding the semantics of a text is symbol grounding: if language is grounded, it is equal to recognizing a machine-readable meaning. For the restricted domain of spatial analysis, a computer-based language ...

  9. DisCoCat - Wikipedia

    en.wikipedia.org/wiki/DisCoCat

    There are multiple definitions of DisCoCat in the literature, depending on the choice made for the compositional aspect of the model. The common denominator between all the existent versions, however, always involves a categorical definition of DisCoCat as a structure-preserving functor from a category of grammar to a category of semantics, which usually encodes the distributional hypothesis.