  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.
