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  2. Generative grammar - Wikipedia

    en.wikipedia.org/wiki/Generative_grammar

    By contrast, generative theories generally provide performance-based explanations for the oddness of center embedding sentences like one in (2). According to such explanations, the grammar of English could in principle generate such sentences, but doing so in practice is so taxing on working memory that the sentence ends up being unparsable ...

  3. Grammaticality - Wikipedia

    en.wikipedia.org/wiki/Grammaticality

    Linguists use grammaticality judgements to investigate the syntactic structure of sentences. Generative linguists are largely of the opinion that for native speakers of natural languages , grammaticality is a matter of linguistic intuition , and reflects the innate linguistic competence of speakers.

  4. Phrase structure rules - Wikipedia

    en.wikipedia.org/wiki/Phrase_structure_rules

    Beginning with the sentence symbol S, and applying the phrase structure rules successively, finally applying replacement rules to substitute actual words for the abstract symbols, it is possible to generate many proper sentences of English (or whichever language the rules are specified for).

  5. Transformational grammar - Wikipedia

    en.wikipedia.org/wiki/Transformational_grammar

    Like current generative theories, it treated grammar as a system of formal rules that generate all and only grammatical sentences of a given language. What was distinctive about transformational grammar was that it posited transformation rules that mapped a sentence's deep structure to its pronounced form.

  6. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...

  7. Syntactic Structures - Wikipedia

    en.wikipedia.org/wiki/Syntactic_Structures

    From there on, Chomsky tried to build a grammar of Hebrew. Such a grammar would generate the phonetic or sound forms of sentences. To this end, he organized Harris's methods in a different way. [note 18] To describe sentence forms and structures, he came up with a set of recursive rules. These are rules that refer back to themselves.

  8. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Together with results from HDBSCAN, users can generate topic hierarchies, or groups of related topics and subtopics. Furthermore, a user can use the results of top2vec to infer the topics of out-of-sample documents. After inferring the embedding for a new document, must only search the space of topics for the closest topic vector.

  9. Context-free grammar - Wikipedia

    en.wikipedia.org/wiki/Context-free_grammar

    The language equality question (do two given context-free grammars generate the same language?) is undecidable. Context-free grammars arise in linguistics where they are used to describe the structure of sentences and words in a natural language, and they were invented by the linguist Noam Chomsky for this purpose.