Systemacity of Computational Linguistics Terminology

   The article is devoted to the analysis of computational linguistics terminology systemacity.

   The purpose of the article is to identify systemic relations in the computational linguistics terminology, to analyze its relations with other special vocabulary systems, general scientific and intersectoral.

   The article solves problems of studying the computational linguistics terms functioning sphere, representing its systemic connections in the form of a "core—periphery" model, analyzing the main types of computational linguistics terms interconnection with other systems of special vocabulary and common language. The study of terminological material is carried out on the basis of a descriptive method and a quantitative analysis method. The study results showed that the computational linguistics terminology functions as a special names system in the applied scientific field, focused on the use of computer tools, mathematical models and artificial intelligence in linguistics and related disciplines. It is concluded that systemic connections in the computational linguistics terminology can be represented in the form of the "core—periphery" model. The core terms, related to the theoretical and technological direction of automatic natural language processing, function in the center of the system under study. The terms of the periphery determine the connection of the computational linguistics conceptual base with the terminology of linguistics, mathematics, computer science, artificial intelligence, and other sciences and theories. In the computational linguistics terminology, the following system relations types are identified: obtaining the core term by clarifying the initial periphery term, forming the core term based on the composition of two or more initial periphery terms, forming the core term by gradually specifying the initial peripheral terms. The obtained results indicate that the computational linguistics terminology is a dynamically developing system of modern special vocabulary, which is open and closely related to other terminologies.

1. Pol'shchikova O. N., Pol'shchikova A. K. [The role and place of computer linguistics terminology in special vocabulary]. Sbornik nauchnyh statej po itogam Mezhdunarodnoj nauchno-prakticheskoj konferencii "Novye informacionnye tekhnologii i sistemy v reshenii zadach innovacionnogo razvitiya" [Collection of scientific articles on the results of the International Scientific and Practical Conference "New Information Technologies and Systems in solving problems of innovative Development"]. Volgograd, 2020, pp. 84–85 (In Russ.).

2. Pol'shchikova O. N., Pol'shchikova A. K. [System connections in the terminology of computational linguistics]. Sbornik nauchnyh statej po itogam Mezhdunarodnoj nauchno-prakticheskoj konferencii "Vzaimodejstvie nauki i obshchestva – put' k modernizacii i innovacionnomu razvitiyu" [Collection of scientific articles on the results of the International Scientific and Practical Conference "Interaction of science and Society – a path to modernization and innovative development"]. Voronezh, 2020, pp. 114–116 (In Russ.).

3. Bol'shakova E. I., Voroncov K. V., Efremova N. E., Klyshinskij E. S., Lukashevich N. V., Sapin A. S. Avtomaticheskaya obrabotka tekstov na estestvennom yazyke i analiz dannyh [Automatic natural language text processing and data analysis]. Moscow, NIU VSHE Publ., 2017. 269 p. (In Russ.).

4. Marchuk Yu. N. Komp'yuternaya lingvistika [Computational Linguistics]. Moscow, AST Vostok-Zapad Publ., 2007. 317 p. (In Russ.).

5. Batura T. V. Matematicheskaya lingvistika i avtomaticheskaya obrabotka tekstov na estestvennom yazyke [Mathematical linguistics and automatic text processing in natural language]. Novosibirsk, RIC NGU Publ., 2016. 166 p. (In Russ.).

6. Ahmanova O. S. Slovar' lingvisticheskih terminov [Dictionary of linguistic terms]. Moscow, Editorial URSS Publ., 2004. 576 p. (In Russ.).

7. Rozental' D. E., Telenkova M. A. Slovar'-spravochnik lingvisticheskih terminov [Dictionary-reference of linguistic terms]. Moscow, Prosveshchenie Publ., 1985. 358 p. (In Russ.).

8. Zherebilo T. V. Slovar' lingvisticheskih terminov [Dictionary of linguistic terms]. Nazran', OOO «Piligrim» Publ., 2010. 486 p. (In Russ.).

9. Yacko V. A. Predmetnaya oblast' komp'yuternoj lingvistiki [Subject area of computational linguistics]. Vestnik IGLU = Bulletin of the NEEDLE, 2014, no. 2, pp. 24–35 (In Russ.).

10. Russko-anglijskij tezaurus po komp'yuternoj lingvistike [Russian-English Thesaurus on Computational Linguistics]. (In Russ.). Available at: https://uniserv.iis.nsk.su/thes/search.php.

11. Asavbaeva G. B. Problemy yazykoznaniya, teorii yazyka i prikladnoj lingvistiki [Problems of linguistics, language theory and applied linguistics]. Novosibirsk, 2015. 194 p. (In Russ.).

12. Sosnina E. P. Vvedenie v prikladnuyu lingvistiku [Introduction to Applied Linguistics]. Ul'yanovsk, 2012. 110 p. (In Russ.).

13. Burns S. Natural language processing. Amazon KDP Printing and Publishing, 2019. 123 p.

14. Mishra B. K., Kumar R. Natural Language Processing in Artificial Intelligence. Burlington: Apple Academic Press, 2020. 297 p.

15. Bol'shoj tolkovyj slovar' russkogo yazyka [Large explanatory dictionary of the Russian language]; ed. by S. A. Kuznecov. St. Petersburg, Norint Publ., 2000. 1536 p. (In Russ.).

16. Apresyan Yu. D., Boguslavskij I. M., Iomdin L. L., eds. Lingvisticheskij processor dlya slozhnyh informacionnyh sistem [Linguistic processor for complex information systems]. Moscow, Nauka Publ., 1992. 256 p. (In Russ.).

17. Frawley W., Piatetsky-Shapiro G., Matheus C. Knowledge Discovery in Databases: An Overview. AI Magazine. 1992. p. 213-228.