Challenges Encountered in Turkish Natural Language Processing Studies

It aims to analyze a language element such as writing or speaking with software and convert it into information. Considering that each language has its own grammatical rules and vocabulary diversity, the complexity of the studies in this field is somewhat understandable. For instance, Turkish is a very interesting language in many ways. Examples of this are agglutinative word structure, consonant/vowel harmony, a large number of productive derivational morphemes (practically infinite vocabulary), derivation and syntactic relations, a complex emphasis on vocabulary and phonological rules. In this study, the interesting features of Turkish in terms of natural language processing are mentioned. In addition, summary info about natural language processing techniques, systems and various sources developed for Turkish are given. Keywords: Natural language processing, Turkish natural language processing, NLP Article history: Received 06 June 2020, Accepted 26 November 2020, Available online 27 November 2020 Introduction Language is undoubtedly the main factor in communication between people. Natural language processing studies aim at the most effective use of language factor in humancomputer communication. Natural Language Processing is a subcategory of artificial intelligence and linguistics.