Abstract
This paper provides a hybrid approach to the Named Entity Recognition (NER) in Manipuri language. The hybrid approach so used is the combination of statistical approach (Conditional Random Field, CRF) and rule-based approach. The rule-based approach helps in defining various unique word features that are used in accurately classifying the Named Entities by the CRF classifier. With small corpus size, this hybrid approach proves to have Recall, Precision and F-score of 92.26%, 94.27% and 93.3% respectively.
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L., J., Kaur, D. (2013). Named Entity Recognition in Manipuri: A Hybrid Approach. In: Gurevych, I., Biemann, C., Zesch, T. (eds) Language Processing and Knowledge in the Web. Lecture Notes in Computer Science(), vol 8105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40722-2_11
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DOI: https://doi.org/10.1007/978-3-642-40722-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40721-5
Online ISBN: 978-3-642-40722-2
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