Distributional analysis of Russian lexical errors

Authors

  • Polina Panicheva Saint Petersburg State University, Russia Author

DOI:

https://doi.org/10.36505/ExLing-2016/07/0029/000288

Keywords:

Distributional Semantics, lexical errors, construction blending, Russian

Abstract

An algorithm of analyzing obscure lexical collocations is proposed. It is based on a cooccurrence model and distributional semantic filtering. We apply the proposed technique to lexical errors of construction blending, as annotated in the Corpus of Russian Student Texts. Results of error processing are analyzed and classified; reasons for different results in the paraphrasing experiment are discussed.

References

Kutuzov, A., Andreev, I. 2015, 'Texts in, meaning out: neural language models in semantic similarity task for Russian', arXiv preprint arXiv:1504.08183.

Lyashevskaya, O., Sharov, S. 2009, The Frequency Dictionary of Modern Russian (on the materials of the Russian National Corpus), Moscow. (in Russian)

Puzhaeva, S.; Zevakhina, N., Dzhakupova, S. 2015, Construction blending in nonstandard variants of Russian in the Corpus of Russian Student Texts. Proc. 6th Intern. Conf. “Corpus Linguistics-2015”, 390-397. St. Petersburg. (in Russian)

Sharoff, S.; Kopotev, M.; Erjavec, T.; Feldman, A., Divjak, D. 2008, Designing and Evaluating a Russian Tagset., in 'LREC'.

Sharov, S., Nivre, J. 2011, The proper place of men and machines in language technology. Processing Russian without any linguistic knowledge. Proc. Annual Intern. Conf. Dialogue, Computational Linguistics & Intellectual Technologies', pp. 657.

Shutova, E. 2010, Automatic metaphor interpretation as a paraphrasing task, in 'Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL', pp. 1029--1037.

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Published

01-01-2016

How to Cite

Distributional analysis of Russian lexical errors. (2016). Linguistic Proceedings Series, 7(1), 131-134. https://doi.org/10.36505/ExLing-2016/07/0029/000288

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