A Clustering Framework for Lexical Normalization of Roman Urdu

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Authors Abdul Rafae Khan, Asim Karim, Jia Xu, Hassan Sajjad, Faisal Kamiran
Journal/Conference Name Natural Language Engineering
Paper Category
Paper Abstract Roman Urdu is an informal form of the Urdu language written in Roman script, which is widely used in South Asia for online textual content. It lacks standard spelling and hence poses several normalization challenges during automatic language processing. In this article, we present a feature-based clustering framework for the lexical normalization of Roman Urdu corpora, which includes a phonetic algorithm UrduPhone, a string matching component, a feature-based similarity function, and a clustering algorithm Lex-Var. UrduPhone encodes Roman Urdu strings to their pronunciation-based representations. The string matching component handles character-level variations that occur when writing Urdu using Roman script.
Date of publication 2020
Code Programming Language Java

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