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    <titleInfo>
        <title>Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts</title>
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    <name type="personal">
        <namePart type="given">Tatiana</namePart>
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        <namePart type="given">Pavel</namePart>
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        <namePart type="given">Olga</namePart>
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    <name type="personal">
        <namePart type="given">Olga</namePart>
        <namePart type="family">Zagorovskaya</namePart>
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            <title>Proceedings of the Workshop on Stylistic Variation</title>
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            <namePart type="given">Julian</namePart>
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        <name type="personal">
            <namePart type="given">Thamar</namePart>
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            <namePart type="given">Moshe</namePart>
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    <abstract>The differences in the frequencies of some parts of speech (POS), particularly function words, and lexical diversity in male and female speech have been pointed out in a number of papers. The classifiers using exclusively context-independent parameters have proved to be highly effective. However, there are still issues that have to be addressed as a lot of studies are performed for English and the genre and topic of texts is sometimes neglected. The aim of this paper is to investigate the association between context-independent parameters of Russian written texts and the gender of their authors and to design predictive re-gression models. A number of correlations were found. The obtained data is in good agreement with the results obtained for other languages. The model based on 5 parameters with the highest correlation coefficients was designed.</abstract>
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        <date>2017-09</date>
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%0 Conference Proceedings
%T Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts
%A Litvinova, Tatiana
%A Seredin, Pavel
%A Litvinova, Olga
%A Zagorovskaya, Olga
%Y Brooke, Julian
%Y Solorio, Thamar
%Y Koppel, Moshe
%S Proceedings of the Workshop on Stylistic Variation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F litvinova-etal-2017-differences
%X The differences in the frequencies of some parts of speech (POS), particularly function words, and lexical diversity in male and female speech have been pointed out in a number of papers. The classifiers using exclusively context-independent parameters have proved to be highly effective. However, there are still issues that have to be addressed as a lot of studies are performed for English and the genre and topic of texts is sometimes neglected. The aim of this paper is to investigate the association between context-independent parameters of Russian written texts and the gender of their authors and to design predictive re-gression models. A number of correlations were found. The obtained data is in good agreement with the results obtained for other languages. The model based on 5 parameters with the highest correlation coefficients was designed.
%R 10.18653/v1/W17-4909
%U https://aclanthology.org/W17-4909/
%U https://doi.org/10.18653/v1/W17-4909
%P 69-73

Markdown (Informal)

[Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts](https://aclanthology.org/W17-4909/) (Litvinova et al., Style-Var 2017)

• Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts (Litvinova et al., Style-Var 2017)

ACL

• Tatiana Litvinova, Pavel Seredin, Olga Litvinova, and Olga Zagorovskaya. 2017. Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts. In Proceedings of the Workshop on Stylistic Variation, pages 69–73, Copenhagen, Denmark. Association for Computational Linguistics.