Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… The reason whyAIapplications have not been deployed in production environment is … allAIsolution and usually there are limited points of data collection which gives less data forAIto …
… SA of theUrdulanguage difficult, such as the fact thatUrduhas both … and morphologicalpeculiarities ofUrdu, the difficulty of … Sentiment analysis implementations inUrduare limited due …
… ofUrdulanguage for sentence-level sentiment analysis and classifies proverbs and idiomsusing supervised ML techniques, onUrdu…Urdu(Latin script) and NastaliqUrdu(Urduscript). …
… text documents are in theUrdulanguage. For source text … , areUrdunewspaper storiespublished in the popularUrdu… mapping with the newspaper story (Urdutext), but as practiced in …
… and the complex morphological structure of theUrdulanguage, there is tremendous scopefor … forUrdusentiment analysis and found out the dataset and techniques preferred forUrdu…
… detection of political hate speech in RomanUrdu. An exclusive political hate speech …structure of RomanUrdu, we propose an algorithm for the lexical unification of RomanUrdu. Three …
… the-artUrduNER system. There is also a lack of research considering social data, so weintroduced a social NER datasetUrdutweets named entity recognition (UTNER) based onUrdu…
… gap in text classification forUrdu. This is essential to achieve better results in the classificationofUrdunews. In order to improve the efficacy of variousUrduNLP applications, this study …
…AItools tailored for theUrdulanguage, particularly in the context of image captioning andtext-to-speech conversion. The significance ofUrdu, … system that generatesUrducaptions and …
… This section discussesUrduloan words with negative opinions and … analysis techniquesemployed forUrduin literature. …Urduand are both Indo-Aryan languages; however,Urduis …
This research evaluates hate speech detection across a minimal-size Mixed English andRomanUrdulanguage intersection through machine learning and deep learning model …
… intoUrdu. In this paper, we curate and contribute the first largest publicly available datasetforUrduFND, "Ax-to-GrindUrdu", to bridge the identified gaps and limitations of existingUrdu…