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This paper addresses the task of extending a given synset with additionalsynonyms taking into account synonymy strength as a fuzzy value. Given amono/multilingual synset and a threshold (a fuzzy value [0-1]), our goal is toextract new synonyms above this threshold from existing lexicons. We presenttwofold contributions: an algorithm and a benchmark dataset. The datasetconsists of 3K candidate synonyms for 500 synsets. Each candidate synonym isannotated with a fuzzy value by four linguists. The dataset is important for(i) understanding how much linguists (dis/)agree on synonymy, in addition to(ii) using the dataset as a baseline to evaluate our algorithm. Our proposedalgorithm extracts synonyms from existing lexicons and computes a fuzzy valuefor each candidate. Our evaluations show that the algorithm behaves like alinguist and its fuzzy values are close to those proposed by linguists (usingRMSE and MAE). The dataset and a demo page are publicly available athttps://portal.sina.birzeit.edu/synonyms.

A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms