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.
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 callDisclaimer: 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.
