Named entity dataset forUrdunamed entity recognition task
… inUrdu, especially with machine learning (ML) perspectives. The new developedUrduNER… The contents source of this new dataset is BBCUrduand initially contains data from sport, …
Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… inUrdu, especially with machine learning (ML) perspectives. The new developedUrduNER… The contents source of this new dataset is BBCUrduand initially contains data from sport, …
… ,Urdulanguage is also derivative language of Arabic but following the Nata’liq writing style.The first work forUrdu… method forUrduscript based language character recognition system. …
… could be in different languages (English,Urdu, Arabic, etc.). … other languages like Arabic,Italian,Urduand Hindi. In this paper… Opinions written in Roman-Urduand English are extracted …
…Urdulanguage by extending the scope of sentiment expressions from adjectives to nouns inthe domain of news. In this study, a sentiment analyzer forUrdu… which exploitsUrdulexicon …
… Recognition ofUrducursive script is a challenging task due to the implicit complexities …In this paper, we used zoning features for the classification ofUrduNasta’liq text lines, with a …
… for the first time for theUrduNasta’liq script recognition …UrduNasta’liq script, we haveusedUrduPrinted Text Images (UPTI) dataset. This dataset has 10,000 text-lines written inUrdu…
… , but unfortunatelyUrdulanguage is not considered comprehensively in this context. AsUrduis … an application for sentiment analysis ofUrducomments on various websites. Elaborated …
…Urduhas been facing various challenges in Natural Language Processing (NLP) due to its… This paper presents theUrduresources forUrdutext stemming such as affixes list, stop word …
… This paper presents an implicit segmentation based recognition system forUrdutext linesin … Experimental study of the proposed technique is carried out on the standardUrduPrinted …
… sentences from objective sentences forUrdulanguage, in this, language specific pre-processingused to extract the relevant features. AsUrdulanguage is morphological rich language, …
This work lays down a foundation for text prediction of an inflected and under-resourcedlanguageUrdu. The interface developed is not limited to a T9 (Text on 9 keys) application used …
… a large volume ofUrduhandwritten text images Corpus onUrdulanguage. To make thedatabase available in large field ofNaturalLanguageProcessingwe annotate database for …