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A Two-Level Morphological Description of Bashkir Turkish

Can Eyupoglu

Department of Computer Engineering, Istanbul Commerce University, Istanbul, 34840 Turkey
E-mail: ceyupoglu@ticaret.edu.tr

Computer Systems Science and Engineering 2019, 34(3), 113-121. https://doi.org/10.32604/csse.2019.34.113

Abstract

In recent years, the topic of Natural Language Processing (NLP) has attracted increasing interest. Many NLP applications including machine translation, machine learning, speech recognition, sentiment analysis, semantic search and natural language generation have been developed for most of the existing languages. Besides, two-level morphological description of the language to be used is required for these applications. However, there is no comprehensive study of Bashkir Turkish in the literature. In this paper, a two-level description of Bashkir Turkish morphology is described. The description based on a root word lexicon of Bashkir Turkish is implemented using Extensible Markup Language (XML) and appended to Nuve framework. The phonetic rules of Bashkir Turkish are encoded using 41 two-level rules. This two-level morphological description is promising to be used in Bashkir Turkish oriented NLP applications.

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APA Style
Eyupoglu, C. (2019). A two-level morphological description of bashkir turkish. Computer Systems Science and Engineering, 34(3), 113-121. https://doi.org/10.32604/csse.2019.34.113
Vancouver Style
Eyupoglu C. A two-level morphological description of bashkir turkish. Comput Syst Sci Eng. 2019;34(3):113-121 https://doi.org/10.32604/csse.2019.34.113
IEEE Style
C. Eyupoglu, “A Two-Level Morphological Description of Bashkir Turkish,” Comput. Syst. Sci. Eng., vol. 34, no. 3, pp. 113-121, 2019. https://doi.org/10.32604/csse.2019.34.113

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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