Named Entity Recognition for South Asian Languages
Amit Goyal · 2008
Much work has already been done on building named entity recognition systems. However most of this work has been concentrated on English and other European languages. Hence, building a named entity recognition (NER) system for South Asian Languages (SAL) is still an open problem because they exhibit characteristics different from English. This paper builds a named entity recognizer which also identifies nested name entities for the Hindi language using machine learning algorithm, trained on an annotated corpus. However, the algorithm is designed in such a manner that it can easily be ported to other South Asian Languages provided the necessary NLP tools like POS tagger and chunker are available for that language. I compare results of Hindi data with English data of CONLL shared task of 2003. 1