Automatic lexico-syntactic classification of noun-adjective relations for Romanian language

The natural language processing became one of the most important fields of artificial intelligence because is related to the area of human-computer interaction using human languages (natural language generation, question answering, machine translation, etc.) or speech understanding (language modeling).To model the relations between words it is necessary to find the syntactic and semantic relations between them. Starting from the property/attribute-holder relation between nouns and adjectives, extracted from Romanian translation of Orwell´s novel “Nineteen eighty-four” (part of Multext-East [1]), this paper presents the results of automatic lexico-syntactic classification using three classification methods: decision trees, k nearest neighbors and naïve Bayes.