is defined as The semantic word similarity is normalized, so that it provides a similarity score between and inclusively. The normalization of semantic similarity algorithm returns a normalized score of similarity between two words. It takes as arguments the two words, and , and a maximum value, , that is returned by the semantic similarity function, Sim(). For example, the algorithm returns 0.986 for words cemetery and graveyard with (for SOC-PMI method). References Islam, A. and Inkpen, D. (2008). Semantic text similarity using corpus-based word similarity and string similarity. ACM Trans. Knowl. Discov. Data 2, 2 (Jul. 2008), 1–25. Islam, A. and Inkpen, D. (2006). Second Order Co-occurrence PMI for Determining the Semantic Similarity of Words, in Proceedings of the International Conference on Language Resources and Evaluation (LREC 2006), Genoa, Italy, pp. 1033–1038. Computational linguistics Statistical distance