Review of text summarization in indian regional languages
… of sentence weight algorithm was able to summarize theUrdutext to the accuracy of over80% … in theUrdulanguage which is one of the great works done in the field ofNLPin theUrdu…
Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… of sentence weight algorithm was able to summarize theUrdutext to the accuracy of over80% … in theUrdulanguage which is one of the great works done in the field ofNLPin theUrdu…
Sentiment analysis, a prominent sub-field ofNaturalLanguageProcessing(NLP), has gained… This paper explores variousNLPtechniques employed in sentiment analysis, including …
… This paper presents the Instituto Politécnico Nacional (Mexico) at FIRE 2021 1 forUrdulanguage fake news detection shared task [1, 2]. This paper aims to detect fake news onUrdu…
… Very little work has been done onUrdueven though it is spoken as a first language by …Urduis a low-resource language, and there is a scarcity of publicly available datasets forNLP…
… Experiments are performed on the RomanUrdunavigation utterances dataset. The resultsshow that for the intent determination task XLNET based word embeddings outperform other …
… a domain ofnaturallanguageprocessingthat is still in its early stages of development forUrdu.As a … a bootstrapping process for developing a dependency treebank forUrduNoisy Text. …
… [10] inUrducan …Urdulanguage. The field of computer science associated with the interactionswith computers and natural languages is known asNaturalLanguageProcessing(NLP). …
… We present a lexical and syntactically simplifiedUrdusimplification corpus with a detailedanalysis of the various simplification operations and human evaluation of corpus quality. We …
… is recognized as a keynaturallanguageprocessingtask. Recognizing …Urduhas receivedlittle attention of researchers. A key reason to that is the scarcity of fake news datasets forUrdu…
… Manually annotated corpus is a perquisite for severalnaturallanguageprocessingapplicationsincluding parsing. Nevertheless, annotated corpus is not always available for resource-…
… inUrdu[7-8]. In these tournaments, researchers presented various models that combinednaturallanguageprocessing(NLP) … detection,naturallanguageprocessing(NLP) inUrdu, and …
… forUrdu, called UrduFake’21. In this study, we have used three deep learning techniques forUrdufake … have achieved a very high F1 score for anotherNLPtasks inUrdulanguage [20]. …