Context-aware NMT using Selected Context An offline context selection technique Mutlingual Neural Machine Translation System for Pakistani Languages A system discription of Pakistani regional language's NMT Sentence Simplification in Punjabi Language Working on creating Punjabi Shahmukhi simplification corpus Context-Aware Financial Sentiment Analysis The detailed overview of Financial Domain Sentiment Analysis Creation of Corpora and Analysis of Semantic Distance Between Sentence Translation in Various Languages A comprehensive overview oevaluates the semantic similarity between multilingual translations of the Holy Quran and its original Arabic version, employing Large Language Models (LLMs) and cosine similarity distance calculations. An End-to-End Speech Translation System A comprehensive overview of an end-to-end speech translation system for English to Urdu language direction, with a focus on overcoming data scarcity issues. Zero-Shot Neural Machine Translation System For Low-Resource Languages A comprehensive overview of zero-shot neural machine translation systems for low-resource languages. Punjabi Transliteration System A comprehensive overview of Punjabi Transliteration System. Exploring the Potential of Large Language Models for Counter Argument Generation A comprehensive exploration of Large Language Models for counter-argument generation across formal diplomatic discourse and informal online debates. Forecasting Political Unrest: Machine Learning Approach for Predicting Early Warning Signs Through Data Analytics A comprehensive study comparing 13 machine learning frameworks for forecasting early warning signs of political violence using multilingual news data and the ACLED dataset. Fake News Detection on Kashmir Issue Using Machine Learning Techniques A machine learning approach to detect fake news during the revocation of Article 370 in Kashmir as a focusing event, using Twitter data and user profile parameters. Exploring Transfer Learning for Urdu Speech Synthesis A neural text-to-speech synthesis system for Urdu, a low-resource language, using transfer learning from English and Arabic parent models with custom-built Urdu speech corpora. Automatic Sentence Simplification in Low Resource Settings for Urdu The first monolingual parallel Urdu corpus for sentence simplification, combining lexical and syntactic simplification methods with human evaluation and automatic metric comparison. Exploring Transfer Learning and Domain Data Selection for Bio-medical Translation A comprehensive study applying transfer learning and selective data training to improve Neural Machine Translation quality for the bio-medical domain, using Information Retrieval to select domain-relevant training data for English-French translation.
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