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Word-Order Analysis Based Upon Treebank Data

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Book cover Advances in Artificial Intelligence and Soft Computing (MICAI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9413))

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Abstract

The paper describes an experiment consisting in the attempt to quantify word-order properties of three Indo-European languages (Czech, English and Farsi). The investigation is driven by the endeavor to find an objective way how to compare natural languages from the point of view of the degree of their word-order freedom. Unlike similar studies which concentrate either on purely linguistic or purely statistical approach, our experiment tries to combine both – the observations are verified against large samples of sentences from available treebanks, and, at the same time, we exploit the ability of our tools to analyze selected important phenomena (as, e.g., the differences of the word order of a main and a subordinate clause) more deeply.

The quantitative results of our research are collected from the syntactically annotated treebanks available for all three languages. Thanks to the HamleDT project, it is possible to search all treebanks in a uniform way by means of a universal query tool PML-TQ. This is also a secondary goal of this paper – to demonstrate the research potential provided by language resources which are to a certain extent unified.

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Notes

  1. 1.

    https://lindat.mff.cuni.cz/.

  2. 2.

    http://ufal.mff.cuni.cz/hamledt.

  3. 3.

    http://ufal.mff.cuni.cz/pdt3.0.

  4. 4.

    https://www.cis.upenn.edu/~treebank.

  5. 5.

    http://dadegan.ir/en/perdt.

  6. 6.

    https://lindat.mff.cuni.cz/services/pmltq/#!/treebanks.

  7. 7.

    https://lindat.mff.cuni.cz/services/pmltq/pdt30/.

  8. 8.

    https://lindat.mff.cuni.cz/services/pmltq/hamledt_en/.

  9. 9.

    The number of subject-less subordinated clauses is inadequately high due to the same reasons as for main clauses: annotation scheme for coordination and analytical verb forms.

  10. 10.

    https://lindat.mff.cuni.cz/services/pmltq/hamledt_fa/.

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Acknowledgments

This work has been using language resources developed, stored and distributed by the LINDAT/CLARIN project of the Ministry of Education of the Czech Republic (project LM2010013).

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Authors and Affiliations

  1. Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, Charles University in Prague, Prague, Czech Republic

    Vladislav Kuboň & Markéta Lopatková

Authors
  1. Vladislav Kuboň
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  2. Markéta Lopatková
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Corresponding authors

Correspondence to Vladislav Kuboň or Markéta Lopatková .

Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Grigori Sidorov

  2. Facultad de ciencias, Universidad Autónoma Nacional, México, Distrito Federal, Mexico

    Sofía N. Galicia-Haro

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Kuboň, V., Lopatková, M. (2015). Word-Order Analysis Based Upon Treebank Data. In: Sidorov, G., Galicia-Haro, S. (eds) Advances in Artificial Intelligence and Soft Computing. MICAI 2015. Lecture Notes in Computer Science(), vol 9413. Springer, Cham. https://doi.org/10.1007/978-3-319-27060-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-27060-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27059-3

  • Online ISBN: 978-3-319-27060-9

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