Natural language processing: Recent development and applications
…NaturalLanguageProcessing(NLP) can be categorized into the subfields of artificialintelligence (AI) and linguistics.NLP… -short-term memory for sentiment analysis in RomanUrdu. …
Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
…NaturalLanguageProcessing(NLP) can be categorized into the subfields of artificialintelligence (AI) and linguistics.NLP… -short-term memory for sentiment analysis in RomanUrdu. …
… In this work, theUrduAll-Words WSD task is …NLPresearch forUrdulanguage text. Weintend to use BERT-based language models in the future to approach the problem ofUrduWSD. …
… notable applications isNaturalLanguageProcessing(NLP), which … Despite theseaccomplishments, theNLPfield still faces …Urdulanguage was analyzed in the works of Li et al. [8] …
… such as Arabic, Hindi, andUrdu) and have reported higher accuracy … This work also analyzesdifferentNLPapplications utilizing … approaches mainly focusing onUrdu. The authors in [2] …
… solve this problem for theUrdulanguage.Urdubelongs to the Indo-Aryan group, is writtenin Arabic Person script, and is the official language of Pakistan.Urduis spoken by more than …
… for the advancement ofUrdutechnologies. This paper presents a significant contributionto ABSA inUrduby addressing its unique facets and challenges forUrdutexts. We adopt a …
… University-level students proficient inUrduand trained innaturallanguageprocessingwereengaged to manually plagiarize the documents. The proposed corpus comprises two types …
Clinical conversations between physicians and patients can provide a rich source of data,information, and knowledge. A plethora of tools and technologies have been developed to …
… This study aims to develop an inventory ofUrduconjunct predicates which helps to draw …related toUrduconjunct predicates has been a challenge forNaturalLanguageProcessing…
… in conventionalUrduor English. This can make it challenging forNLPalgorithms to recognizeand understand these phrases effectively. Researchers are building more advancedNLP…
… In particular, we have: (1) developed and presented guidelines for annotatingUrdutext with… ) proved to be the most effective technique for hateful content identification inUrdutweets. …
…NLPlibrary from the Stanford research group that supports around 53 languages in total,including two Indian languages namely Hindi andUrdu. … by the aforementionedNLPpackages, …