Natural language processing for Nepali text: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-021-10093-1.pdf
Reference80 articles.
1. Acharya P, Bal BK (2018) A comparative study of SMT and NMT: case study of English-Nepali language pair. In: SLTU, pp 90–93
2. Acharya S, Pant AK, Gyawali PK (2015) Deep learning based large scale handwritten devanagari character recognition. In: 2015 9th International conference on software, knowledge, information management and applications (SKIMA). IEEE, pp 1–6
3. Adhikari A, Ghimire S (2019) Nepali image captioning. In: 2019 artificial intelligence for transforming business and society (AITB), IEEE 1:1–6
4. Bachchan RK, Timalsina AK (2018) Plagiarism detection framework using monte carlo based artificial neural network for Nepali language. 2018 IEEE 3rd international conference on computing. Communication and security (ICCCS). IEEE, pp 122–127
5. Bal BK (2009) Towards building advanced natural language applications–an overview of the existing primary resources and applications in Nepali. In: Proceedings of the 7th workshop on Asian language resources (ALR7), Association for Computational Linguistics, Suntec, Singapore, pp 165–170
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review;Algorithms;2024-09-06
2. Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-12
3. Knowledge-aware image understanding with multi-level visual representation enhancement for visual question answering;Machine Learning;2023-12-12
4. Deep multi-scale convolutional neural networks for automated classification of multi-class leaf diseases in tomatoes;Neural Computing and Applications;2023-10-09
5. Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features;Journal of Ambient Intelligence and Humanized Computing;2023-09-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3