Abstract
Abstract N-gram based indexing technique has been proved as a useful technique for efficient document retrieval. We applied the n-gram approach and performed experiments in Hindi language text collections. The experiments are performed on the dataset of FIRE 2010 Hindi text collections. We used the Terrier open search engine for experimental purpose. Our experiments state that 4-gram gives the best results among all n-grams of different length. The results show an increase in value of mean average precision.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
More From: Procedia Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
