Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… This has various applications including sentiment analysis, spam detection,NLPetc. Thereis much work done on english text classification but there is a huge gap withUrdu. There isn’t …
…Urduand English on Kashmiri language. Methods: As there is no substantial work reportedin literature specific toNLP… resources to undertake theNLPresearch for Kashmiri language. …
… There are several online newspapers inurdubut for the users it is difficult to find …Urdunewsin the interests of users and reduce the users searching time for news. For this purpose,NLP…
… , we don’t have many possibilities for BERT’s pretrained model forUrdutext becauseUrduhasn’t been thoroughly explored with stateof-the-artNLPmethods. We have presented …
… test data in Mandarin, Turkish, andUrdufor Sub-task 1, document … in Hindi, Mandarin, Turkish,andUrduoccurs in a zero-shot … ARC-NLPtrain an ensemble of transformers models using …
… To perform theUrduword embedding, we consider a massiveUrdulanguage corpus. The… News dataset [38] which is publicly available for performingNLPtasks. This dataset contains …
… This research can benefit many areas of interest innaturallanguageprocessingapplicationssuch as information categorization and opinion mining market research. The contributions …
… in the work of POS tagging in RomanUrdu. For European languages with limited resources,[9… With further advancements and improvements in the research ofNLP, we propose a novel …
…UrduNLPapplications since its four unique categories were carefully selected to eliminateambiguity. For manyNLP… forUrduText Processing is the only dataset in theUrdulanguage …
… anUrdulanguage hate lexicon, on the basis of this lexicon we formulate annotated datasetof 10,526Urdu… In addition, we use transfer learning to exploit pre-trained FastTextUrduword …
… languages and to create anNLPsystem that could be generalized … For languages with notraining datasets (Urdu, Turkish, … At the same time, Hindi, Mandarin, Turkish andUrduevalua…
… have proved very successful for the diverseNaturalLanguageProcessingtasks. But, deeplearning methods have not been explored for the RomanUrdufake review detection task. To …