| One of the prospective application of artificial intelligence is natural language processing. A natural language processor is designed based on word class priority. Sentences classification is conducted through priority-ordered word class. The Artificial Neural Network model Adaptive Resonance Theory (ART) will classify the sentences. This Network is implemented on Natural Language Syntax Translator System, which is the subsystem of Natural Language Translator System. The system translates sentences syntax from source language into target language. English is chosen as the source language and Indonesian as the target language. It is showed that sentences classification based on word class priority can learn the trained sentences syntax patterns, as well as translate sentences from the source language into the target language, and search the closest sentences syntax to translate uncomplete sentences. |