Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks
Information Retrieval
2020-01-22 v1
Abstract
This paper describes the work towards Gujarati Ad hoc Monolingual Retrieval task for widely used Information Retrieval (IR) models. We present an indexing baseline for the Gujarati Language represented by Mean Average Precision (MAP) values. Our objective is to obtain a relative picture of a better IR model for Gujarati Language. Results show that Classical IR models like Term Frequency Inverse Document Frequency (TF_IDF) performs better when compared to few recent probabilistic IR models. The experiments helped to identify the outperforming IR models for Gujarati Language.
Keywords
Cite
@article{arxiv.1209.0126,
title = {Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks},
author = {Hardik J. Joshi and Pareek Jyoti},
journal= {arXiv preprint arXiv:1209.0126},
year = {2020}
}
Comments
6 pages, Some text in Gujarati Language