17 citations · 32 across the 14 of their papers we have counts for
14 papers
IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing
Pruthwik Mishra, Rudra Trivedi, Avi Patel +2
Language identification in code-mixed text, largely observed in social media, is highly essential when users frequently switch between multiple languages within a single utterance.…
CorIL: Towards Enriching Indian Language to Indian Language Parallel Corpora and Machine Translation Systems
Soham Bhattacharjee, Mukund K Roy, Yathish Poojary +19
India's linguistic landscape is one of the most diverse in the world, comprising over 120 major languages and approximately 1,600 additional languages, with 22 officially recognize…
Crosslingual Optimized Metric for Translation Assessment of Indian Languages
Arafat Ahsan, Vandan Mujadia, Pruthwik Mishra +2
Automatic evaluation of translation remains a challenging task owing to the orthographic, morphological, syntactic and semantic richness and divergence observed across languages. S…
ILID: Native Script Language Identification for Indian Languages
Yash Ingle, Pruthwik Mishra
The language identification task is a crucial fundamental step in NLP. Often it serves as a pre-processing step for widely used NLP applications such as multilingual machine transl…
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
Sankalp Bahad, Pruthwik Mishra, Karunesh Arora +3
Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Info…
Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages
Vandan Mujadia, Pruthwik Mishra, Arafat Ahsan +1
With the primary focus on evaluating the effectiveness of large language models for automatic reference-less translation assessment, this work presents our experiments on mimicking…
Automatic Data Retrieval for Cross Lingual Summarization
Nikhilesh Bhatnagar, Ashok Urlana, Vandan Mujadia +2
Cross-lingual summarization involves the summarization of text written in one language to a different one. There is a body of research addressing cross-lingual summarization from E…
Verb Categorisation for Hindi Word Problem Solving
Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing…
Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
Ashok Urlana, Pruthwik Mishra, Tathagato Roy +1
Generic text summarization approaches often fail to address the specific intent and needs of individual users. Recently, scholarly attention has turned to the development of summar…
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Anusha Prakash, Arun Kumar, Ashish Seth +24
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation in…
Building Odia Shallow Parser
Pruthwik Mishra, Dipti Misra Sharma
Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more. Quality annotated c…
Code-Mixed Sentiment Analysis Using Machine Learning and Neural Network Approaches
Pruthwik Mishra, Prathyusha Danda, Pranav Dhakras
Sentiment Analysis for Indian Languages (SAIL)-Code Mixed tools contest aimed at identifying the sentence level sentiment polarity of the code-mixed dataset of Indian languages pai…
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models
Ketan Kumar Todi, Pruthwik Mishra, Dipti Misra Sharma
POS Tagging serves as a preliminary task for many NLP applications. Kannada is a relatively poor Indian language with very limited number of quality NLP tools available for use. An…
Arithmetic Word Problem Solver using Frame Identification
Pruthwik Mishra, Litton J Kurisinkel, Dipti Misra Sharma
Automatic Word problem solving has always posed a great challenge for the NLP community. Usually a word problem is a narrative comprising of a few sentences and a question is asked…