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Developing and Validating an Academic Vocabulary List in Russian: A Computational Approach
Author(s) -
TALALAKINA EKATERINA,
STUKAL DENIS,
KAMROTOV MIKHAIL
Publication year - 2020
Publication title -
the modern language journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.486
H-Index - 83
eISSN - 1540-4781
pISSN - 0026-7902
DOI - 10.1111/modl.12664
Subject(s) - vocabulary , construct (python library) , variety (cybernetics) , mathematics education , computer science , russian language , sample (material) , psychology , linguistics , artificial intelligence , programming language , philosophy , chemistry , chromatography
To date, attempts at empirically validating a construct of academic vocabulary in the form of a frequency list in languages other than English remain conspicuously absent in peer‐reviewed journals. This study aims to close this gap by using Russian as a case study to develop an academic vocabulary list and prove its viability through a variety of data science methods, including cross‐validation and out‐of‐sample coverage. Our findings support the utility of such a construct in Russian and its potential impact on teaching Russian for academic purposes.

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