DocumentCode :
1923202
Title :
Suffix stripping based NER in Assamese for location names
Author :
Sharma, Padmaja ; Sharma, Utpal ; Kalita, Jugal
Author_Institution :
Dept. of Comput. Sci. & Eng., Tezpur Univ., Tezpur, India
fYear :
2012
fDate :
2-3 March 2012
Firstpage :
91
Lastpage :
94
Abstract :
Named Entity Recognition (NER) is the process of identifying and classifying proper nouns in text documents into pre-defined classes such as person, location and organization. It plays an important role in Natural Language Processing applications. Although NER in Indian languages is a difficult and challenging task and suffers from scarcity of resources, such work has started to appear recently. In highly inflectional languages such as Assamese, NER requires identification of the root forms of words that occur in texts. Our work reports a suffix stripping approach to identify those roots of words which are location named entities.
Keywords :
natural language processing; object recognition; pattern classification; text analysis; Assamese; Indian language; NER; location name; location name entity; named entity recognition; natural language processing; noun classification; suffix stripping approach; text document; word root form identification; Accuracy; Algorithm design and analysis; Computer science; Morphology; Organizations; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
978-1-4577-0719-3
Type :
conf
DOI :
10.1109/NCCISP.2012.6189684
Filename :
6189684
Link To Document :
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