Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… is beginning to benefitUrdu. Researchers have introduced … toUrduby continual pretrainingand LoRA fine-tuning onUrdudata, which has set new benchmarks on severalUrduNLP…
…Urdutweets are examined in this study usingUrdusentiment analysis. TheUrduhack librarywas used to preprocess theUrdu… variety ofNLPapplications. Despite existing works on the …
…Urdulanguage. With each passing day, numerous online sources generate a substantialvolume of data ofUrdu… ing the suggested results, this research guarantees thatNLPanalysts …
… -English speech-to-text corpus based on Common Voice 13.0Urdu…NLPtasks. Ourcontribution, CV-UrEnST corpus, enrichesUrduspeech resources by contributing the firstUrdu-…
… andUrdu-Hindi dialectal variation, further complicates its analysis using conventionalNLP… language in South Asia,Urdufaces challenges inNLPtasks due to limited annotated …
… On social media, RomanUrdu, a transliteration ofUrduwith the Latin alphabet, is common.… to be studied inNLP. A majority of the literature on RomanUrduhas concerned offensive …
…Urdu, ranked as the 21st most spoken language globally, faces challenges due to a lack of… itsnaturallanguageprocessing(NLP). Despite being morphologically rich,Urduencounters …
… significantly enhancesnaturallanguageprocessing(NLP) and … recognition tools in low-resourcelanguages likeUrdu. … sarcasm inUrdutweets using a curated dataset called ‘Urdu-…
… Detection of cyberbullying patterns in low resource colloquial romanurdumicrotext usingnaturallanguageprocessing, machine learning, and ensemble techniques. Applied Sciences …
…NLPapplications. The core motive of this work is to tackle the morpho-syntactic category ofwords inUrdu… like part of speech tagging for theUrdulanguage by achieving an F1-score of …
… (2025), in Benchmarking the Performance of Pre-Trained LLMs AcrossUrduNLPTasks,benchmark seven pre-trained LLMs across 17UrduNLPtasks. They find models with richer …
… of Kurdish Sorani, Arabic, Persian, andUrdu, we sought to capture the subtle patterns thatgeneric … Most priorUrduNLPefforts have relied either on multilingual models or on classical …