NL 2022 · Journal article
Preprocessing of Nepali News Corpus for Downstream Tasks
Nepalese Linguistics, vol. 35, pp. 1–6.
Abstract
Text collected from online resources introduce a lot of errors which results in incorrect learning outcomes in automatic language learning tasks. In this paper, we discuss a Nepali text preprocessing pipeline to generate clean corpus. This pipeline is tested using a language model to observe impact of each steps in learning task. The relevancy of this work lies in systematizing the procedure in the development of standard Nepali corpus.
Cite
@article{awale2022nepalicorpus,
author = {Awale, Sushil and Prasai, Suraj and Rijal, Birodh and Basnet, Santa B.},
title = {Preprocessing of {Nepali News Corpus} for Downstream Tasks},
journal = {Nepalese Linguistics},
volume = {35},
pages = {1--6},
year = {2022},
issn = {0259-1006},
doi = {10.3126/nl.v35i01.46553},
}