• Original research article
  • July 15, 2020
  • Open access

Principles of Linguistic Information System Design

Abstract

The study aims to formulate principles for developing a linguistic information system meant to act as integrated representation of linguistic resources. Scientific originality of the research is in that principles of universality and complementarity of a linguistic information system development are suggested for the first time. Universality is understood as supporting all kinds of research including theoretical, applied and informational. Complementarity refers to adequate allocation of electronic resources functioning as system components. Such types of complementarity as semantic, pragmatic and functional are identified. The results of the study have demonstrated that the system structure must include linguistic ontology and a national corpus as its core elements.

References

  1. Чеснокова И. Д., Маньшин М. Е. Национальный корпус русского языка как основной инструмент поиска при лингвистических исследованиях (на примере поиска антонимов в публицистических текстах) // Известия Волгоградского государственного педагогического университета. 2018. № 5. С. 97-103.
  2. Яцко В. А. Компьютерная лингвистика или лингвистическая информатика? // Научно-техническая информация. Серия 2. Информационные процессы и системы. 2014. № 5. С. 1-10.
  3. Яцко В. А., Яцко Т. С. Особенности структуры лингвистической онтологии // Научно-техническая информация. Серия 2. Информационные процессы и системы. 2017. № 6. С. 16-25.
  4. Colton D. Text classification using Python // Text mining and visualization: Case studies using open-source tools. Boca Raton, 2016. P. 199-220.
  5. Dash N. S., Arulmozi S. Type and purpose of text // History, features, and typology of language corpora. Singapore, 2018. P. 67-83. DOI: 10.1007/978-981-10-7458-5_5.
  6. Farzandipour M., Meidani Z., Gilasi H., Dehghan R. Evaluation of key capabilities for hospital information system: A milestone for meaningful use of information technology [Электронный ресурс] // Annals of Tropical Medicine and Public Health. 2017. Vol. 10. Iss. 6. URL: http://www.atmph.org/text.asp?2017/10/6/1579/222676 (дата обращения: 14.05.2020).
  7. GIS (Geographic Information System) [Электронный ресурс]. URL: https://www.nationalgeographic.org/encyclopedia/ geographic-information-system-gis/ (дата обращения: 14.05.2020).
  8. López G., Quesada L., Guerrero L. A. Alexa vs. Siri vs. Cortana vs. Google Assistant: A comparison of speech-based natural user interfaces // Advances in Intelligent Systems and Computing. Cham: Springer, 2018. Vol. 592. P. 241-250.
  9. Oliveira N., Areal N. Sentiment analysis of stock market behavior from Twitter using the R Tool // Text mining and visualization: Case studies using open-source tools. Boca Raton, 2016. P. 223-240.
  10. Wiechmann D., Fuhs S. Concordancing software // Corpus Linguistics and Linguistic Theory. 2006. Vol. 2. Iss. 1. P. 107-127. DOI: 10.1515/CLLT.2006.006.
  11. Yu-Chun Lo, Jhih-Jie Chen, Ching-Yu Yang, Jason S. Cool English: A grammatical error correction system based on large learner corpora // Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations. Santa Fe, 2018. P. 82-85.

Author information

Viatcheslav Alexandrovitch Yatsko

Katanov State University of Khakasia

About this article

Publication history

  • Received: May 13, 2020.
  • Published: July 15, 2020.

Keywords

  • лингвистические технологии
  • лингвистическая информационная система
  • принципы разработки
  • лингвистическая онтология
  • текстовые корпуса
  • linguistic technologies
  • linguistic information system
  • design principles
  • linguistic ontology
  • text corpora

Copyright

© 2020 The Author(s)
© 2020 Gramota Publishing, LLC

User license

Creative Commons Attribution 4.0 International (CC BY 4.0)