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Modelling Derivational Morphology: A Case of Prefix Stacking in Russian

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Formal Grammar (FG 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10686))

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Abstract

In order to automatically analyse Russian texts, one needs to model complex verb formation, as it is a productive mechanism and dictionary data is not sufficient. In this paper I discuss two implementations that aim to produce all and only the existing complex verbs built from the available morpheme inventory for the same fragment of Russian grammar. The first implementation is based on the syntactic theory approach to prefix combinatorics by Tatevosov (2009) and the other one uses the combination of basic syntactic restrictions and frame semantics to construct all possible combinations. I show that a combination of basic syntactic and semantic restrictions provides better results than a set of elaborated syntactic restrictions, especially for the complex verbs that are not normally tested by introspection.

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Notes

  1. 1.

    IPF superscript marks the imperfective aspect of the verb and PF superscript marks the perfective aspect of the verb.

  2. 2.

    In any existent syntactic analysis either (1) or (2) is not a valid derivation. For details, see Zinova and Filip (2013).

  3. 3.

    http://xmg.phil.hhu.de/.

  4. 4.

    https://user.phil-fak.uni-duesseldorf.de/zinova/XMG/index.html.

  5. 5.

    This unary branching is necessary in the current implementation due to the absence of a syntactic compiler that would work with frames: it models the lexical anchor insertion inside the metagrammar.

  6. 6.

    An additional operation of type matching has to be performed after the suffixed verbs are assembled, as in the current version of XMG type copying is performed not via creating a connection between two types (as it is done with attributes), but by copying the value that is there at the moment the operation is performed. To ensure that later type enrichments are copied to all the necessary locations, the class TypeMatcher identifies all types of the measure dimensions (M-DIM, NOUN-DIM, VERB-DIM) between the higher and the embedded frames.

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Authors and Affiliations

  1. Heinrich Heine University, Düsseldorf, Germany

    Yulia Zinova

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  1. Yulia Zinova
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Correspondence to Yulia Zinova .

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Editors and Affiliations

  1. IRISA, University of Rennes 1, Rennes, France

    Annie Foret

  2. Department of Philosophy, Tilburg University, Tilburg, The Netherlands

    Reinhard Muskens

  3. LORIA/Inria Nancy, Villers-les-Nancy, France

    Sylvain Pogodalla

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Zinova, Y. (2018). Modelling Derivational Morphology: A Case of Prefix Stacking in Russian. In: Foret, A., Muskens, R., Pogodalla, S. (eds) Formal Grammar . FG 2017. Lecture Notes in Computer Science(), vol 10686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56343-4_8

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  • DOI: https://doi.org/10.1007/978-3-662-56343-4_8

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