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  2. Merge (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Merge_(linguistics)

    In principle, language can have a countless amount of words in a sentence. Language is not a continuous notion, but rather discrete in the way that linguistic expressions are distinct units, such as a x word in a sentence, or a x+1, x-l words, and not partial words, x.1, x.2 .... Additionally, language is not constricted in size, but rather ...

  3. Computational humor - Wikipedia

    en.wikipedia.org/wiki/Computational_humor

    Based on the incongruity theory of humor, it is suggested that the resulting meaningless but funny sentences are easier to remember. For example, the password AjQA3Jtv is converted into "Arafat joined Quayle's Ant, while TARAR Jeopardized thurmond's vase," an example chosen by combining politicians names with verbs and common nouns. [18]

  4. Phrase structure rules - Wikipedia

    en.wikipedia.org/wiki/Phrase_structure_rules

    This sentence was constructed by Noam Chomsky as an illustration that phrase structure rules are capable of generating syntactically correct but semantically incorrect sentences. Phrase structure rules break sentences down into their constituent parts. These constituents are often represented as tree structures (dendrograms). The tree for ...

  5. Blend word - Wikipedia

    en.wikipedia.org/wiki/Blend_word

    In linguistics, a blend—also known as a blend word, lexical blend, or portmanteau [a] —is a word formed by combining the meanings, and parts of the sounds, of two or more words together. [ 2 ] [ 3 ] [ 4 ] English examples include smog , coined by blending smoke and fog , [ 3 ] [ 5 ] as well as motel , from motor ( motorist ) and hotel .

  6. Rebus - Wikipedia

    en.wikipedia.org/wiki/Rebus

    An example that illustrates the Rebus principle is the representation of the sentence "I can see you" by using the pictographs of "eye—can—sea—ewe". Some linguists believe that the Chinese developed their writing system according to the rebus principle, [ 9 ] and Egyptian hieroglyphs sometimes used a similar system.

  7. DELPH-IN - Wikipedia

    en.wikipedia.org/wiki/DELPH-IN

    The goal of DELPH-IN is to combine linguistic and statistical processing methods in order to computationally understand the meaning of texts and utterances. The tools developed by DELPH-IN adopt two linguistic formalisms for deep linguistic analysis, viz. head-driven phrase structure grammar (HPSG) and minimal recursion semantics (MRS). [ 2 ]

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