Back-transliteration based Input Method Editors are very popular for Indian Lan-guages. In this paper we evaluate two such Indic language systems to help un-derstand the challenge of designing a back-transliteration based IME. Through a detailed error-analysis of Hindi, Bang-la and Telugu data, we study the role of phonological features of Indian scripts that are reflected as variations and am-biguity in the transliteration. The impact of word-origin on back-transliteration is discussed in the context of code-switching. We also explore the role of word-level context to help overcome some of these challenges.

In  Proceedings of IJCNLP Workshop on Advances in Text Input Methods

Publisher  Association for Computational Linguistics

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