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Study on Similarity among Indian Languages Using Language Verification Framework
Author(s) -
Debapriya Sengupta,
Goutam Saha
Publication year - 2015
Publication title -
advances in artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 1687-7489
pISSN - 1687-7470
DOI - 10.1155/2015/325703
Subject(s) - similarity (geometry) , computer science , language family , natural language processing , artificial intelligence , measure (data warehouse) , linguistics , data mining , philosophy , image (mathematics)
Majority of Indian languages have originated from two language families, namely, Indo-Europeanand Dravidian. Therefore, certain kind of similarity among languages of a particular family canbe expected to exist. Also, languages spoken in neighboring regions show certain similaritysince there happens to be a lot of intermingling between population of neighboring regions. Thispaper develops a technique to measure similarity among Indian languages in a novel way, usinglanguage verification framework. Four verification systems are designed for each language. Acceptance of one language as another, which relates to false acceptance in language verificationframework, is used as a measure of similarity. If language A shows false acceptance more than apredefined threshold with language B, in at least three out of the four systems, then languages A and B are considered to be similar in this work. It is expected that the languages belonging to the same family should manifest their similarity in experimental results. Also, similaritybetween neighboring languages should be detected through experiments. Any deviation fromsuch fact should be due to specific linguistic or historical reasons. This work analyzes any suchscenario

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