Computational linguistics and discourse complexology: Paradigms and research methods
نویسندگان
چکیده
The dramatic expansion of modern linguistic research and enhanced accuracy analysis have become a reality due to the ability artificial neural networks not only learn adapt, but also carry out automate analysis, select, modify compare texts various types genres. purpose this article journal issue as whole is present areas in computational linguistics complexology, well define solid rationale for new interdisciplinary field, i.e. discourse complexology. review trends focuses on following aspects research: applied problems methods, resources, contribution theoretical linguistics, use deep learning networks. special addresses problem objective relative text complexity its assessment. We focus two main approaches assessment: “parametric approach” machine learning. findings studies published indicate major including algorithms developed solve complexology problems. outlines provides framework guide further development design matrix genres, refining list predictors, validating criteria, expanding databases natural language.
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ژورنال
عنوان ژورنال: Russian journal of linguistics
سال: 2022
ISSN: ['2312-9182', '2312-9212']
DOI: https://doi.org/10.22363/2687-0088-31326