Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
…NaturalLanguageProcessing(NLP) is at the core of modern … This paper explores thestate-of-the-artNLPtechniques … However, buildingNLPpowered assistants inUrduinvolves …
… RomanUrduremain significantly understudied. This paper presents a novel RomanUrdudataset … We introduce a transphobic slur lexicon specific to RomanUrduand a semantic emoji …
… Al-Baqarah and Aal-e-Imran translated intoUrduand the methods used in this study whichinvolves the analysis of contextual similarities of the Ayahs by employingNLPand Deep …
… To address the linguistic diversity in Pakistan, future developments must focus on buildingrobust multilingualNLPmodels capable of understanding and processingUrdu, Punjabi, …
… Speech Recognition (ASR) andNaturalLanguageProcessing(NLP), emphasizing the role… emotions inUrdu, while ParsBERT outperformed other models in PersianNLPtasks. LSTM …
… languages like RomanUrdu-English. To tackle the issue of Hate Speech in code mixedRomanUrdu-English little amount of research has been done by theNLPand machine learning …
…Urdumulti-modal encoder on a custom sentiment classification dataset containing pairedUrdu… of variational quantum circuits for multi-modalUrduNLPtasks. The performance of the …
… Paraphrase detection is a pivotal task innaturallanguageprocessing(NLP), with far-… forlow-resource languages like Arabic andUrdudue to their complex syntax, morphology, flexible …
… Recently, transfer learning has dominated theUrduNLP, as fundamental models arepretrained on a large corpora of diverse texts taken from common crawl, text, news sources etc. …
… One such technique was back translation, where we translated the originalUrdutext intoEnglish and then back intoUrduto ensure the augmented data's uniqueness. Synonym …
…Urduneeds, adapting existingNLPtechniques to meet the linguistic and multi-modalcharacteristics ofUrdu… of low-resourced languages likeUrduare significantly limited compared to …
… 15Urdudatasets. The findings showed that SOTA models consistently outperformed LLMsinUrduNLP… dialect across variousNLPtasks. The contributions of this paper are as follows: …