A Two-Level Morphological Description of Bashkir Turkish

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.