Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… The focus of this research was only on RomanUrdu, so theUrdureviews in the Roman script… non-Urdutext. Table IV illustrated the sample filters which were used to extract theUrdu…
… Many studies are conducted proposing differentUrdulanguage OCR systems based ondifferentartificialintelligencetechniques, which are further verified by the abovementioned …
… work has been performed on the RomanUrdulanguage. Sentiment analysis is the method…Urdu. The main objective of the research is to evaluate sentiment analysis on RomanUrdu…
… In this paper, anUrduvirtual assistant application is proposed which provides an intuitive …Urdu. In 2019, C-Square collaborated with Genesys to launch Pakistan’s firstAIenabledUrdu…
… The primary objective of this research is to conduct a literature review on all the work completedon the recognition ofUrduSign Language through machine learning classifiers to date. …
… in the fields of computational linguistics andartificialintelligence. This task has been extensively… to perform this task forUrduarticles. Firstly, I created a newUrducorpus to perform the …
… ofUrdu-based sentiment analysis, a classic case of poor resource language. WhileUrduisa … This article has analyzed and evaluated studies addressing machine learning-basedUrdu…
… We present a state-of-the-art Roman-UrdutoUrdumachine transliteration model thatgives quality very close to human transliteration, setting the state-of-the-art of 84.67 Bilingual …
… the lack of the dataset ofUrdutext. We propose a large-scaleUrduScene Text Dataset (USTD)to address this problem, which is designed forUrduscene text detection and recognition. …
…NLPtasks, word segmentation is domain-dependent, which can be a challenge in low-resourcelanguages like Thai andUrdu… to Chinese, Japanese, andUrduwhich resulted in im…
… theUrdulanguage to improve theNLP. Table 1 shows that all problems in theUrdulanguage…Naturallanguageprocessingis tightly coupled with resources, ie, processing resources, …
… useful in variety ofnaturallanguageprocessing(NLP) tasks. Some of the most notablemodels are GPT (Radford et al., 2018), GPT-2 (Radford et al., 2019), GPT-3 (Brown et al., 2020), …