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  2. Deep linguistic processing - Wikipedia

    en.wikipedia.org/wiki/Deep_linguistic_processing

    Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. CCG , HPSG , LFG , TAG , the Prague School ).

  3. Musio - Wikipedia

    en.wikipedia.org/wiki/Musio

    Musio is a social robot designed by AKA Intelligence, powered by MUSE, an AI engine developed for communication, specifically to help people who wish to improve their English conversational skills. [ citation needed ] Using learning algorithms, Musio converses with people, and recognizes objects and understands people's facial expressions.

  4. Head-driven phrase structure grammar - Wikipedia

    en.wikipedia.org/wiki/Head-driven_phrase...

    Head-driven phrase structure grammar (HPSG) is a highly lexicalized, constraint-based grammar [1] [2] developed by Carl Pollard and Ivan Sag. [ 3 ] [ 4 ] It is a type of phrase structure grammar , as opposed to a dependency grammar , and it is the immediate successor to generalized phrase structure grammar .

  5. Cognitive approaches to grammar - Wikipedia

    en.wikipedia.org/.../Cognitive_approaches_to_grammar

    Cognitive approaches to grammar are theories [1] of grammar that relate grammar to mental processes and structures in human cognition. While Chomsky's theories of generative grammar are the most influential in most areas of linguistics , other theories also deal with the cognitive aspects of grammar.

  6. Grammar induction - Wikipedia

    en.wikipedia.org/wiki/Grammar_induction

    Grammar induction (or grammatical inference) [1] is the process in machine learning of learning a formal grammar (usually as a collection of re-write rules or productions or alternatively as a finite-state machine or automaton of some kind) from a set of observations, thus constructing a model which accounts for the characteristics of the observed objects.

  7. Artificial grammar learning - Wikipedia

    en.wikipedia.org/wiki/Artificial_grammar_learning

    The AI programs first adapted to simulate both natural and artificial grammar learning used the following basic structure: Given A set of grammatical sentences from some language. Find A procedure for recognizing and/or generating all grammatical sentences in that language. An early model for AI grammar learning is Wolff's SNPR System.

  8. Deeper learning - Wikipedia

    en.wikipedia.org/wiki/Deeper_Learning

    The blog articles are written pro bono by major educational writers who advocate for the paradigm shift to Deeper Learning as well as by a balance of school leaders, teachers, professional learning specialists and others who are incorporating deeper learning practices into their curricula, instruction, assessment and system change plans.

  9. Reading comprehension - Wikipedia

    en.wikipedia.org/wiki/Reading_comprehension

    Some people learn comprehension skills through education or instruction and others learn through direct experiences. [12] Proficient reading depends on the ability to recognize words quickly and effortlessly. [13] It is also determined by an individual's cognitive development, which is "the construction of thought processes".

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