I ndo W ord N et:: S imilarity- Computing Semantic Similarity and Relatedness using I ndo W ord N et (2016)

Abstract: Semantic similarity and relatedness measures play an important role in natural language processing applications. In this paper, we present the IndoWordNet::Similarity tool and interface, designed for computing the semantic similarity and relatedness between two words in IndoWordNet. A java based tool and a web interface have been developed to compute this semantic similarity and relatedness. Also, Java API has been developed for this purpose. This tool, web interface and the API are made available for the research purpose.

## introduction the semantic similarity is defined as a concept whereby a set of words are assigned a metric based on the likeliness of the semantic content. it is easy for humans with their cognitive abilities to judge the semantic similarity between two given words or concepts. for example, a human can quite easily say that the words apple and mango are more similar than the words apple and car. there is some understanding of how humans are able to perform this task of assigning similarities. however, measuring similarity computationally is a challenging task and attracts a considerable amount of research interest over the years. another term very closely related to similarity is semantic relatedness. for example, money and bank would seem to be more closely related than money and cash. in past, various measures of similarity and relatedness have been proposed. these measures are developed based on the lexical structure of the wordnet, sta-tistical information derived from the corpora or a combination of both. these measures are now widely used in various natural language processing applications such as word sense disambiguation, information retrieval, information extraction, question answering, etc. we developed indowordnet::similarity tool, interface and api for computing the semantic similarity or relatedness for the indian languages using indowordnet. the paper is organized as follows. section 2 describes the indowordnet. semantic similarity and relatedness measures are discussed in section 3. section 4 details the indowordnet::similarity. related work is presented in section 5. section 6 concludes the paper and points to the future work. ## indowordnet wordnet foot_0 is a lexical resource composed of synsets and semantic relations. synset is a set of synonyms representing distinct concept. synsets are linked with basic semantic relations like hypernymy, hyponymy, meronymy, holonymy, troponymy, etc. and lexical relations like antonymy, gradation, etc. indowordnet @xcite is the multilingual wordnet for indian languages. it includes eighteen indian languages viz., @xcite initially, hindi wordnet 2 was created manually taking reference from princeton wordnet. similarly, other indian language word-nets were created from hindi wordnet using expansion approach and following the three principles of synset creation. in this paper, we present the indowordnet::similarity tool, interface and api, which help in computing similarity and relatedness of words / concepts in indian language wordnets. ## indowordnet::similarity we have developed indowordnet::similarity tool, web based interface and api to measure the semantic similarity and relatedness for a pair of words / synsets in the indowordnet. ## conclusion we have developed the indowordnet::similarity tool, web interface for computing the semantic similarity and relatedness measures for the in-dowordnet. also, a java api has also been developed for accessing the similarity measures. the tool and the api can be used in various nlp areas such as word sense disambiguation, information retrieval, information extraction, question answering, etc. in future, the other measures of computing similarity and relatedness shall be integrated in our tools and utilities.