1. Challenges Encountered in Turkish Natural Language Processing Studies
- Author
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Yakup Kutlu and Kadir Tohma
- Subjects
FOS: Computer and information sciences ,Consonant ,Vowel harmony ,Agglutinative language ,Vocabulary ,Computer Science - Artificial Intelligence ,Computer science ,Turkish ,media_common.quotation_subject ,Mühendislik ,computer.software_genre ,turkish natural language processing ,Field (computer science) ,Engineering ,Morpheme ,natural language processing ,lcsh:Science (General) ,media_common ,Computer Science - Computation and Language ,business.industry ,nlp ,language.human_language ,Artificial Intelligence (cs.AI) ,Phonological rule ,lcsh:TA1-2040 ,language ,Artificial intelligence ,lcsh:Engineering (General). Civil engineering (General) ,business ,Computation and Language (cs.CL) ,computer ,Natural language processing ,lcsh:Q1-390 ,Natural language processing,Turkish natural language processing,NLP - Abstract
Natural language processing is a branch of computer science that combines artificial intelligence with linguistics. 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., 8 pages, Natural and Engineering Sciences
- Published
- 2020
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