Punjabi Stemmer Using Punjabi WordNet Database

Autor:	Rajeev Puri, Vishal Goyal, R. P. S. Bedi
Rok vydání:	2015
Předmět:	Multidisciplinary Information retrieval Database business.industry Computer science Process (engineering) WordNet computer.software_genre Set (abstract data type) Artificial intelligence Regular expression Suffix business computer Natural language processing
Zdroj:	Indian Journal of Science and Technology. 8
ISSN:	0974-5645 0974-6846
Popis:	Stemming is used as a pre-processing phase in the information retrieval tasks. The stemming process produces linguistically normalized text, which helps in improving the results of information retrieval tasks. In this paper, a revised suffix removal approach with extended set of stripping rules has been discussed for creating a Punjabi language Stemming tool. The stemming algorithm discussed in this paper uses regular expressions for finding suffix matches. The WordNet* database is used here for improving the stemming results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c615796760bc81589f99335d90ea3d4c https://doi.org/10.17485/ijst/2015/v8i27/82943 Zobrazit plný text záznamu