DirecTL: a language-independent approach to transliteration

Authors:
Sittichai Jiampojamarn;Aditya Bhargava;Qing Dou;Kenneth Dwyer;Grzegorz Kondrak
Affiliations:
University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada
Venue:
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Year:
2009

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Abstract

We present DirecTL: an online discriminative sequence prediction model that employs a many-to-many alignment between target and source. Our system incorporates input segmentation, target character prediction, and sequence modeling in a unified dynamic programming framework. Experimental results suggest that DirecTL is able to independently discover many of the language-specific regularities in the training data.