Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
…UrduSpeech Emotion recognition. This study is the first systematic literature review onUrdu… detailed analysis of the literature onUrduSpeech Emotion Recognition which includes the …
… that are specific to theUrdulanguage. Urduhack is a Tensorflow-based library designedspecifically forUrduNLP tasks and trained on a large corpus ofUrdutext data, including …
… is to produceUrdupoetry in SalesUrdu. The paper falls under the genericAIdomain andthe … The literature review reveals a substantial gap in the generation ofUrdutext, which is the …
… in theUrdulanguage. These attention mechanisms are new to theUrdulanguage, as thosehave never been used for theUrdu… of different model architectures onUrdu’s image caption …
… The sheer availability of resources and authenticated datasets in theUrdu… ofAIin theUrdulanguage. This paper documents the exploration and refinement of the Common VoiceUrdu…
This research proposes a novel approach for de-tecting humor in code-mixed English-Urdu(RomanUrdu) text. Our approach combines advanced deep learning algorithms, machine …
… existingUrduNLP studies, this study presents the UNLT (Urdu… Our proposedUrduwordtokenizer is based on a novel … , that is,Urdu, (ii) the development and evaluation ofUrduword …
… The corpus was employed in the training of a large ArabicLLM. In order to assess the efficacyof theLLM, a variety of typical NLP tasks were fine-tuned. The fine-tuned tasks exhibited a …
… The rapid progress in Large Language Models andAIhas significantly enhanced our capacity… To perform the analysis, we utilized SBERTLLMmodels, specifically the mini and mpnet …
… Furthermore,naturallanguageprocessingand machine learning have been used toaccomplish this task. Data was collected by fixingUrdu, English and RomanUrduon geographical …
… Grammar checking is one of the important applications ofNaturalLanguageProcessing. …Grammar checker application has been implemented for languages like English,Urdu, Punjabi, …
… Proper segmentation ofUrduwords is another important … All these suggest the limitationsof applyingNLPtools such … -trained Word2Vec implementation forUrduthat we have used in …