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AbstractThe development of a model to quantify semantic similarity and relatedness between words has been the major focus of many studies in various fields, e.g. psychology, linguistics, and natural language processing. Unlike the measures proposed by most previous research, this article is aimed at estimating automatically the strength of associative words that can be semantically related or not. We demonstrate that the performance of the model depends not only on the combination ofdoi:10.1007/s10462-021-10056-6 fatcat:oga5x5voubglvokozk5o7vjlke