New Synonyms Extraction Model Based on a Novel Terms Weighting Scheme

The traditional statistical approach in synonyms extraction is time-consuming. It necessary to develop a new method improve the efficiency and accuracy. This research presents called Noun Based Distinctive Verbs (NBDV) that replaces tf-idf weighting scheme with Orbit Weighing Scheme (OWS). OWS links nouns their semantic space by examining singular verbs each context. was compared important models field such as Skip-Gram, Continuous Bag of Words, GloVe model. NBDV model manipulated over Arabic English languages results showed 47% Recall 51% Precision dictionary-based evaluation 57.5% human experts’ evaluation. Comparing based on tf.idf, obtained 11% higher recall 10% precision. Regarding efficiency, we found average, single noun requires process 186 63% runs; number less than 200. concluded developed efficient processes run linear time.