Developing a POS tagger for Magahi: A Comparative Study
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چکیده
In this paper, we present a comparative study of the four state-of-the-art sequential taggers applied on Magahi data for part-of-speech (POS) annotation . Magahi is one of the smaller Indo-Aryan languages spoken in Eastern state of Bihar in India. It is an extremely resource-poor language and it is the first attempt to develop some kind of Natural Language Processing (NLP) resource for the language.
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تاریخ انتشار 2012