Vectorial Approach For Analysing Turkish Sentence

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The grammatical and semantic analysis of the sentence is one of the main subjects of Natural Language Processing (NLP). In this paper, we present a novel method to detect basic grammatical and semantic disorders by concentrating on the predicate. In Turkish, the predicate includes information about the subject and tense. The predicate also helps identify the phrases which make up the sentence. For example, “büyümek” (to grow) does not take an object, but it can take a locative phrase ending with the suffix “-de”. The predicate is also informative about the semantic concept of a phrase. For example “düşünmek” (to think) is specifically an action performed by a human, so the subject will be related with the concept of a human. With these properties considered, a model has been designed to find phrases in a sentence, identify their relations to specific concepts, and analyze the sentences grammatically and semantically.

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Grammatical and semantic analysis , phrase , concept and verb compatibility , vector representation of sentence

Afyon Kocatepe University Journal Of Science an‎d Engineering

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Afyon Kocatepe University Journal Of Science an‎d Engineering