Subjective and Objective Factors of Bilingualism in the Emotional Text Comprehension in Tuvan-Russian Bilinguals

This psycholinguistic experiment included emotional rendering of Russian Internet texts by Tuvan-Russian bilinguals. It was based on the Bilingual Language Profile questionnaire and an authentic interface for non-discrete emotional text rendering. The research involved 65 Tuvan-Russian bilinguals and five texts previously classified by Russian monolinguals as "angry texts". All the participants fulfilled a bilingualism questionnaire prior to the test and were divided into three groups: 1) bilinguals with the dominant Tuvan language, 2) bilinguals with the dominant Russian language, and 3) balanced TuvanRussian bilinguals. The research examined the effect of subjective and objective factors of bilingualism on the comprehension of anger in these three groups of informants. The methodology included the method of psycholinguistic experiment and various methods of statistical analysis, e.g., Student’s t-test, Mann-Whitney U-test, etc. The research refuted the hypothesis about the effect of objective (age, context, communicative activity) or subjective (competence, language ratio) factors in TuvanRussian bilinguals on the emotional comprehension of Russian texts. The emotional text comprehension appeared to depend on the dominant language.

1. Chernigovskaya T. V. Cheshire smile of Schrödinger's cat: language and mind. Moscow: Iaz. slav. kultury, 2017, 448. (In Russ.) EDN: VDRVKH

2. Polinsky M. Bilingual children and adult heritage speakers: The range of comparison. International Journal of Bilingualism, 2018, 22(5): 547–563. https://doi.org/10.1177/1367006916656048

3. Bialystok E., Martin M. M. Attention and inhibition in bilingual children: Evidence from the dimensional change card sort task. Developmental Science, 2004, 7(3): 325–339. https://doi.org/10.1111/j.1467-7687.2004.00351.x

4. Kolmogorova A. V., Kalinin A. A., Malikova A. V., Kushko L. A. Methods of computer and corpus linguistics for solving problems of emotional analysis of Internet texts. Moscow: IPR Media, 2022, 215. (In Russ.) https://doi.org/10.23682/119107

5. Kałamała P., Drożdżowicz A., Szewczyk J., Marzecová A., Wodniecka Z. Task strategy may contribute to performance differences between monolinguals and bilinguals in cognitive control tasks: ERP evidence. Journal of Neurolinguistics, 2018, (46): 78–92. https://doi.org/10.1016/j.jneuroling.2017.12.013

6. Lorenzen B., Murray L. Bilingual aphasia: a theoretical and clinical review. American Journal of Speech-Language Pathology, 2008, 17(3): 299–317. https://doi.org/10.1044/1058-0360(2008/026)

7. Mechelli A., Crinion J. T., Noppeney U., O’Doherty J., Ashburner J., Frackowiak R. S., Price C. J. Structural plasticity in the bilingual brain: Proficiency in a second language and age at acquisition affect grey-matter density. Nature, 2004, 431(7010): 457. https://doi.org/10.1038/431757a

8. Picard R. W. Affective computing. Cambridge: The MIT Press, 1997, 306.

9. Applied and computational linguistics, eds. Nikolaev I. S., Mitrenina O. V., Lando T. M. Moscow: LENAND, 2016, 320. (In Russ.)

10. Alm C. O., Roth D., Sproat R. Emotions from text: Machine learning for text-based emotion prediction. HLT/EMNLP 2005 – Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, 6–8 Oct 2005. Vancouver: Association for Computational Linguistics, 2005, 579–586.

11. Kolmogorova A., Kalinin A., Malikova A. Lövheim Сube-backed emotion analysis: From classification to regression. Communications in Computer and Information Science, 2022, 1503: 97–107. https://doi.org/10.1007/978-3-030-93715-7_7

12. Kolmogorova A., Kalinin A., Malikova A. Semiotic function of empathy in text emotion assessment. Biosemiotics, 2021, 14(2): 329–344. https://doi.org/10.1007/s12304-021-09434-y

13. Borgoyakova T. G., Bitkeeva A. N. Tuvan language in legal and functional aspect. New Research of Tuva, 2020, (1): 50–61. (In Russ.) https://doi.org/10.25178/nit.2020.1.4

14. Martan-ool M. B. Languages and linguistic situation in the Republic of Tyva. Humanities in Tuva at the turn of the century: history, problems, and development prospects: Proc. Sci.-Prac. Conf., Kyzyl, 13–14 Oct 2005. Kyzyl: Anyiak, 2005, 60–64. (In Russ.)

15. Dongak Ch. B. Problem of bilingualism in Turkic-speaking regions of Russia (based on the samples of the republics of Tatarstan, Tuva and Sakha). Vestnik of Tuvan State University. Issue 1. Social sciences and humanities, 2020, 4(68): 63–73. (In Russ.) https://doi.org/10.24411/2221-0458-2020-10043

16. Tsybenova Ch. S. On language competence of the Tuvans (results of sociolinguistic survey). Uchenye zapiski ZabGGPU, 2013, (2): 148–155. (In Russ.) EDN: QATPWR

17. Antonova N. S. Social aspects of functioning of forms of language communication in multinational Russia. Bulletin of Buryat State University, 2014, (5): 74–78. (In Russ.) EDN: SBGNNN

18. Arefiev A. L., Bakhtikireeva U. M., Sinyachkin V. P. Bilingualism in language education in secondary schools of the Republic of Tuva. New Research of Tuva, 2021, (1): 255–272. (In Russ.) https://doi.org/10.25178/nit.2021.1.14

19. Alexandrova N. Sh. Bilingualism and other manifestations of the functioning of the language system in light of brain plasticity. Philological Sciences. Scientific Essays of Higher Education, 2020, (6-2): 170–176. (In Russ.) https://doi.org/10.20339/PhS.6-20.170

20. Alexandrova N. Sh. Visual agnosia and visual duality of the identification. Nonlinear dynamics in cognitive research 2019: Proc. VI All-Russian Sci. Conf., Nizhny Novgorod, 23–27 Sep 2019. Nizhny Novgorod: IAP RAS, 2019, 22–26. (In Russ.) EDN: YKHXPX

21. Lovink G. Critical theory of the Internet. Moscow: Ad Marginem Press, 2019, 304. (In Russ.)

22. Manovich L. The language of new media. Moscow: Ad Marginem Press, 2018, 400. (In Russ.)

23. Koshkarova N. N., Yakovleva E. M. Discourse of new emotionality: communicative practices of digital reality. Political Linguistics, 2019, (5): 147–152. (In Russ.) https://doi.org/10.26170/pl19-05-15

24. Lövheim H. A new three-dimensional model for emotions and monoamine neurotransmitters. Medical Hypotheses, 2012, 78(2): 341–348. https://doi.org/10.1016/j.mehy.2011.11.016

25. Gertken L. M., Amengual M., Birdsong D. Assessing language dominance with the Bilingual Language Profile. Measuring L2 proficiency: Perspectives from SLA, eds. Leclercq P., Edmonds A., Hilton H. Bristol: Multilingual Matters, 2014, 208–225. EDN: VADFYB

26. Oshchepkova E. S., Gavrilova M. N., Kovyazina M. S. How does bilingualism affect the volume of vocabulary of senior preschoolers? Cognitive Neuroscience – 2021: Proc. Intern. Forum, Ekaterinburg, 2–3 Dec 2021. Ekaterinburg: UrFU, 2022, 71–74. (In Russ.) EDN: QZISAR

27. Koshel T. V. Formation and functioning of bilingualism in the family and society. Topical issues of research and teaching of native languages and literatures: Proc. Intern. Sci.-Prac. Conf., Cheboksary, 16 Nov 2019. Cheboksary: Sreda, 2020, 386–390. (In Russ.) EDN: BZRRBQ

28. Kolmogorova A., Kalinin A., Malikova A. Non-discrete sentiment dataset annotation: Case study for Lövheim Cube emotional model. Communications in Computer and Information Science, 2020, 1242: 154–164. https://doi.org/10.1007/978-3-030-65218-0_12

29. Bagana J., Khapilina E. V. Contact linguistics: Interaction of languages and bilingualism, 2nd ed. Мoscow: Flinta, 2016, 126. (In Russ.)

30. Birdsong D., Gertken L. M., Amengual M. Bilingual Language Profile: an easy-to-use instrument to assess bilingualism, COERLL, University of Texas at Austin, Web, 20 Jan 2012. URL: https://sites.la.utexas.edu/bilingual/ (accessed 9 Apr 2022).

31. Lemeshko B. Yu., Lemeshko S. B. Power and robustness of criteria used to verify the homogeneity of means. Measurement Techniques, 2008, 51(9): 950–959. https://doi.org/10.1007/s11018-008-9157-3