Prospects of Machine Learning Method for Lingual Personality Modeling.

Authors

  • I. Danylyuk Донецький національний університет імені Василя Стуса (м. Вінниця, Україна).

Keywords:

linguopersonology, linguistic personality, machine learning, artificial neural network

Abstract

ML for linguistic personality modeling in linguopersonology seems to be a powerful method. Elmar's and other recurrent artificial networks are used for creating context-dependent language and speech models based on text corpus. Such a corpus for text by Yuriy Shevelyov (Sherekh) is created on corpora.donnu.edu.ua.

Author Biography

I. Danylyuk, Донецький національний університет імені Василя Стуса (м. Вінниця, Україна).

кандидат філологічних наук, доцент, доцент кафедри загального та прикладного мовознавства і слов’янської філології

References

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Danylyuk, I. "Korpus tekstiv dlya vyvchennya hramatychnoyi sluzhbovosti." (Text corpora to study of a grammatical auxiliarity) Linhvistychni studiyi (Linguistic Studies) 26 (2013): 224-230. Print.

Danylyuk, I. "Korpus tekstiv dlya vyvchennya hramatychnoyi sluzhbovosti: klasyfikatsiya hramatychnykh klasiv i pidklasiv." (Text corpora for studying a grammatical auxiliarity: classification of grammatical classes and subclasses) Linhvistychni studiyi (Linguistic Studies) 27 (2013): 221-229. Print.

Danylyuk, I. "Teoretychni zasady i metody linhvopersonolohiyi" (Theoretical Principles And Methods of Lingvopersonology) Linhvistychni studiyi (Linguistic Studies) 31 (2016a): 63-66. Print.

Danylyuk, I. "Avtomatyzovani metody opysu ta rozpiznavannya movnoyi osobystosti." (Automated linguistic personality description and recognition methods) Linhvistychni studiyi (Linguistic Studies) 32 (2016b): 93-99. Print.

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Samuel, A.L. "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal. July 1959. P.210–229.

How to Cite

Danylyuk, I. (2018). Prospects of Machine Learning Method for Lingual Personality Modeling. Linguistic Studies, 159-164. Retrieved from https://jlingst.donnu.edu.ua/article/view/5564

Issue

Section

SECTION IX. Applied Linguistics: Trends and Aspects of Studies