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  2. 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]

  3. Distributional semantics - Wikipedia

    en.wikipedia.org/wiki/Distributional_semantics

    Distributional semantics [1] is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties in large samples of language data.

  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. Distributed morphology - Wikipedia

    en.wikipedia.org/wiki/Distributed_morphology

    The basic principle of Distributed Morphology is that there is a single generative engine for the formation of both complex words and complex phrases: there is no division between syntax and morphology and there is no Lexicon in the sense it has in traditional generative grammar.

  6. 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.

  7. Statistical semantics - Wikipedia

    en.wikipedia.org/wiki/Statistical_semantics

    Statistical semantics is a subfield of computational semantics, which is in turn a subfield of computational linguistics and natural language processing. Many of the applications of statistical semantics (listed above) can also be addressed by lexicon -based algorithms, instead of the corpus -based algorithms of statistical semantics.

  8. Statistical learning in language acquisition - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_in...

    A spectrogram of a male speaker saying the phrase "nineteenth century". There is no clear demarcation where one word ends and the next begins. It is a well-established finding that, unlike written language, spoken language does not have any clear boundaries between words; spoken language is a continuous stream of sound rather than individual words with silences between them. [2]

  9. Principle of compositionality - Wikipedia

    en.wikipedia.org/wiki/Principle_of_compositionality

    [10] [11] [12] Logical metonymies are sentences like John began the book, where the verb to begin requires (subcategorizes) an event as its argument, but in a logical metonymy an object (i.e. the book) is found instead, and this forces to interpret the sentence by inferring an implicit event ("reading", "writing", or other prototypical actions ...