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.
Highlights
Language is undoubtedly the main factor in communication between people
Natural Language Processing is a subcategory of artificial intelligence and linguistics
In this study, which was evaluated by using ABSA 2016 competitions and Turkish restaurant comments, an algorithm based on conditional random fields using natural language processing outputs and word vectors for determining the target category, target term and two cases together was designed
Summary
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. It aims to analyze, understand or reproduce the canonical structure of natural languages This analysis can be summarized under many headings, such as automatic translation of written documents, question-answer machines, automatic speech and. In Turkish, the number of different words in which a word can be converted by suffixes is theoretically infinite. The word structure of Turkish is based on adding derivational affixes and inflectional suffixes to the roots as postfixes. In Turkish, the number of different words that a word can be converted with the help of suffixes is theoretically infinite (Gündoğdu et al, 2016). The difficulties and differences of Turkish in terms of natural language processing are mentioned and a review of the natural language processing techniques, systems and studies developed for Turkish is presented
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