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Joe Loves Lea: Transformational Analysis of Direct Transitive Sentences

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Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ 2015)

Abstract

NooJ is capable of both parsing and producing any sentence that matches a given syntactic grammar. We use this functionality to describe direct transitive sentences, and we show that this simple structure of sentence accounts for millions of potential sentences.

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Notes

  1. 1.

    I am using the term transformation as in (Harris 1968): an operator that links sentences that share common semantic material, as opposed to (Chomsky 1957) whose transformations link deep and surface structures.

  2. 2.

    We have just replaced the regular nodes labeled with the word form “love” with auxiliary nodes that call embedded graphs in which the conjugated forms of to love are replaced with syntactic symbols such as <V>.

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Correspondence to Max Silberztein .

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Silberztein, M. (2016). Joe Loves Lea: Transformational Analysis of Direct Transitive Sentences. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2015. Communications in Computer and Information Science, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-42471-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-42471-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42470-5

  • Online ISBN: 978-3-319-42471-2

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