We propose a language-independent method for the automatic extraction of transliteration pairs from parallel corpora. In contrast to previous work, our method uses no form of supe...
In this paper, we address the problem of mining transliterations of Named Entities (NEs) from large comparable corpora. We leverage the empirical fact that multilingual news artic...
Raghavendra Udupa, K. Saravanan, A. Kumaran, Jagad...
One problem seriously affecting CLIR performance is the processing of queries with embedded foreign names. A proper noun dictionary is never complete rendering name translation fr...
We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods d...
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...