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  2. Phrase structure rules - Wikipedia

    en.wikipedia.org/wiki/Phrase_structure_rules

    It is also to be expected that the rules will generate syntactically correct but semantically nonsensical sentences, such as the following well-known example: Colorless green ideas sleep furiously This sentence was constructed by Noam Chomsky as an illustration that phrase structure rules are capable of generating syntactically correct but ...

  3. Generative grammar - Wikipedia

    en.wikipedia.org/wiki/Generative_grammar

    For example, generative theories generally provide competence-based explanations for why English speakers would judge the sentence in (1) as odd. In these explanations, the sentence would be ungrammatical because the rules of English only generate sentences where demonstratives agree with the grammatical number of their associated noun. [14]

  4. Transformational grammar - Wikipedia

    en.wikipedia.org/wiki/Transformational_grammar

    For example, in many variants of transformational grammar, the English active voice sentence "Emma saw Daisy" and its passive counterpart "Daisy was seen by Emma" share a common deep structure generated by phrase structure rules, differing only in that the latter's structure is modified by a passivization transformation rule.

  5. Deep structure and surface structure - Wikipedia

    en.wikipedia.org/wiki/Deep_structure_and_surface...

    For example, the sentences "Pat loves Chris" and "Chris is loved by Pat" mean roughly the same thing and use similar words. Some linguists, Chomsky in particular, have tried to account for this similarity by positing that these two sentences are distinct surface forms that derive from a common (or very similar [1]) deep structure.

  6. Generative model - Wikipedia

    en.wikipedia.org/wiki/Generative_model

    For example, GPT-3, and its precursor GPT-2, [11] are auto-regressive neural language models that contain billions of parameters, BigGAN [12] and VQ-VAE [13] which are used for image generation that can have hundreds of millions of parameters, and Jukebox is a very large generative model for musical audio that contains billions of parameters. [14]

  7. Context-free grammar - Wikipedia

    en.wikipedia.org/wiki/Context-free_grammar

    Different context-free grammars can generate the same context-free language. It is important to distinguish the properties of the language (intrinsic properties) from the properties of a particular grammar (extrinsic properties). The language equality question (do two given context-free grammars generate the same language?) is undecidable.

  8. Syntax - Wikipedia

    en.wikipedia.org/wiki/Syntax

    In linguistics, syntax (/ ˈ s ɪ n t æ k s / SIN-taks) [1] [2] is the study of how words and morphemes combine to form larger units such as phrases and sentences.Central concerns of syntax include word order, grammatical relations, hierarchical sentence structure (constituency), [3] agreement, the nature of crosslinguistic variation, and the relationship between form and meaning ().

  9. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...