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Journal of Management and Digital Transformation

Published: 2021-12-06

Towards an automatic classification of natural languages

Zbigniew Handzel , Mirosław Gajer

Abstract

Classification of natural languages is one of the main tasks of linguistics. Of the various types of language classification, the most reliable and authoritative seems to be the typological classification, which combines languages into units of a higher order on the basis of similarity of their structural features. The typological similarity of languages may be a result of both their origin from a common ancestor, i.e. a proto-language, and interlingual borrowings concerning both lexis and syntactic structures. The paper presents a proposal for the construction of a system intended for the automatic classification of natural languages according to their degree of typological similarity. The system developed by the authors currently includes 72 languages belonging mainly to the Indo-European language family. The system also includes several languages belonging to other language families and selected artificial languages of a naturalistic type. The authors have presented a computer programme for determining a numerical measure of the degree of mutual similarity between the systems of personal pronouns occurring in different languages of the world. In the future it is planned to build analogous systems to determine the measure of similarity between languages on the basis of automatic analysis of verb conjugation patterns and declension patterns of nouns and adjectives of selected languages.

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Citation rules

Handzel, Z., & Gajer, M. (2021). Towards an automatic classification of natural languages. Journal of Management and Digital Transformation, (17), 53–70. Retrieved from https://journalmdtr.org/index.php/jmdt/article/view/74

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No. 17 (2021)
Published: 2021-12-06


ISSN: 3072-5682

Publisher
Uniwersytet DSW Ideis

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