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Exploring Semantic Relatedness in Arabic Corpora using Paradigmatic and Syntagmatic Models
International Journal of Information Engineering and Electronic Business
In this paper we explore two paradigms: firstly, paradigmatic representation via the native HAL model including a model enriched by adding word order information using the permutation technique of Sahlgren and al  , and secondly the syntagmatic representation via a words-by-documents model constructed using the Random Indexing method. We demonstrate that these kinds of word space models which were initially dedicated to extract similarity can also been efficient for extracting relatednessdoi:10.5815/ijieeb.2016.01.05 fatcat:5dgbadrd4jc5ngo4apq4mondua