activity
20232026
most citedNepali Video Captioning using CNN-RNN Architecture

2 citations · 2 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CL2026

From Promises to Accountability: Comparative AI Modeling and Visualization of Electoral Commitments in Nepali Political Texts

Prakash Poudyal, Nischal Karki, Amrit Dahal +3

Election Commitment Mining refers to the analysis of election commitments made by electoral candidates or political parties during election campaigns. However, many elected candida…

cs.CL2026

NepKANUN: A RAG-Based Nepali Legal Assistant

Bhabuk Thapa, Prasiddha Koirala, Ranjit Raut +2

Accessing legal information in Nepal is difficult due to complex terminology, limited resources, and misinformation. We introduce an AI-powered legal assistant that is tailored for…

cs.CL2026

Nepali Legal Expertise through Generative and Extractive Pre-trained Transformers (NepLEGiT)

Ranjit Raut, Tishya Dhakal, Aaryan Shakya +3

The complexity of legal language and limited accessibility to legal information pose significant challenges to justice delivery in Nepal. Traditional legal services remain inaccess…

cs.CL2026

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

Samir Wagle, Abiral Adhikari, Reewaj Khanal +4

Legal domains in high-resource languages like English have widely adopted artificial intelligence for legal question answering. However, data scarcity in low resource languages suc…

cs.CL2026

Nwāchā Munā: A Devanagari Speech Corpus and Proximal Transfer Benchmark for Nepal Bhasha ASR

Rishikesh Kumar Sharma, Safal Narshing Shrestha, Jenny Poudel +4

Nepal Bhasha (Newari), an endangered language of the Kathmandu Valley, remains digitally marginalized due to the severe scarcity of annotated speech resources. In this work, we int…

cs.CL2026

NepTam: A Nepali-Tamang Parallel Corpus and Baseline Machine Translation Experiments

Rupak Raj Ghimire, Bipesh Subedi, Balaram Prasain +7

Modern Translation Systems heavily rely on high-quality, large parallel datasets for state-of-the-art performance. However, such resources are largely unavailable for most of the S…

cs.IR2026

Nepali Passport Question Answering: A Low-Resource Dataset for Public Service Applications

Funghang Limbu Begha, Praveen Acharya, Bal Krishna Bal

Nepali, a low-resource language, faces significant challenges in building an effective information retrieval system due to the unavailability of annotated data and computational li…

cs.CL2026

Benchmarking BERT-based Models for Sentence-level Topic Classification in Nepali Language

Nischal Karki, Bipesh Subedi, Prakash Poudyal +2

Transformer-based models such as BERT have significantly advanced Natural Language Processing (NLP) across many languages. However, Nepali, a low-resource language written in Devan…

cs.CL2024

Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks

Jinu Nyachhyon, Mridul Sharma, Prajwal Thapa +1

The Nepali language has distinct linguistic features, especially its complex script (Devanagari script), morphology, and various dialects,which pose a unique challenge for Natural…

cs.CL2024

Development of Pre-Trained Transformer-based Models for the Nepali Language

Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma +1

Transformer-based pre-trained language models have dominated the field of Natural Language Processing (NLP) for quite some time now. However, the Nepali language, spoken by approxi…

cs.SD2024

A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems

Rupak Raj Ghimire, Bal Krishna Bal, Prakash Poudyal

In this paper, we examine the research conducted in the field of Nepali Automatic Speech Recognition (ASR). The primary objective of this survey is to conduct a comprehensive revie…

cs.CV2023★ 2 cited

Nepali Video Captioning using CNN-RNN Architecture

Bipesh Subedi, Saugat Singh, Bal Krishna Bal

This article presents a study on Nepali video captioning using deep neural networks. Through the integration of pre-trained CNNs and RNNs, the research focuses on generating precis…