Challenges Encountered in Turkish Natural Language Processing Studies
It addresses the specific difficulties in processing Turkish for researchers and practitioners in NLP, but is incremental as it primarily reviews existing work.
This study discusses the unique challenges of Turkish natural language processing, such as its agglutinative structure and complex phonological rules, and provides an overview of existing techniques and resources developed for Turkish.
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.