2021
AI in Urdu
Dataset of Pakistan sign language and automatic recognition of hand configuration ofurdualphabet through machine learning
Authors:
A. Imran A. Razzaq I. A. Baig A. Hussain S. Shahid…
… dataset for theUrdualphabets recognition. There are 37 alphabets in theUrdulanguage, in… The alphabets ofUrdusign language are categories baesed on the shape and orientations …
2021
AI in Urdu
Event classification from theUrdulanguage text on social media
Authors:
M. D. A. Awan N. I. Kajla A. Firdous M. Husnain…
… classification task for theUrdulanguage text existing on …Urdulanguage text processing(see the literature for more details). All the above-mentioned factors motivated us to exploreUrdu…
2021
AI in Urdu
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for RomanUrdudata
Authors:
A. Dewani M. A. Memon S. Bhatti- Journal Of Big Data 2021
… in RomanUrdulanguage, we created Slang lexicon in RomanUrdu(SLRU) which alsoincluded RomanUrduabuses and offensive terms used as a norm by RomanUrduusers. SLRU …
2021
AI in Urdu
RomanUrdutoxic comment classification
Authors:
H. H. Saeed M. H. Ashraf F. Kamiran A. Karim…
… written entirely in English,Urdu, or RomanUrdu. We manually discarded the …Urduto keeponly the RomanUrducomments in the dataset. However, a few of the remaining RomanUrdu…
2021
AI in Urdu
Extraction of opinion target using syntactic rules inUrdutext
Authors:
T. A. Rana B. Bakht M. Afzal N. A. Mian…
…Urduis one, with millions of native and non-native speakers across the globe. In this paper,theUrdulanguage domain is focused on to identify opinion targets from writtenUrdutexts. …
2021
AI in Urdu
UrduThreat@ FIRE2021: Shared track on abusive threat identification inUrdu
Authors:
M. Amjad A. Zhila G. Sidorov A. Labunets…
… This shared task address the task of abusive and threatening language detection inUrdulanguage that has more than 230 million speakers worldwide. We presented two datasets: (i) …
2021
AI in Urdu
Benchmarking performance of machine and deep learning-based methodologies forUrdutext document classification
Authors:
M. N. Asim M. U. Ghani M. A. Ibrahim W. Mahmood…
… In order to provide benchmark performance forUrdutext document classification, the …Second, it investigates the performance impact of traditional machine learning-basedUrdutext …
2021
AI in Urdu
Threatening language detection and target identification inUrdutweets
Authors:
M. Amjad N. Ashraf A. Zhila G. Sidorov A. Zubiaga…
… specifically targeting tweets inUrdu, a low-resource language. …Urdulanguage, to the bestof our knowledge. From our exploration of the literature and its lack of application to theUrdu…
2021
AI in Urdu
An unsupervised approach for sentiment analysis on social media short text classification in RomanUrdu
Authors:
T. A. Rana K. Shahzadi T. Rana A. Arshad…
… English words while writing in RomanUrdu; hence, using only a RomanUrdulexicon is notsufficient. We have also used stemming for RomanUrduand negation for the identification of …
2021
AI in Urdu
UTSA:Urdutext sentiment analysis using deep learning methods
Authors:
U. Naqvi A. Majid S. A. Abbas- I. E. E. E. Access 2021
… Application of deep learning methods forUrdusentiment analysis has been least … inUrdusince it is a morphologically rich language. In this paper, we propose a framework forUrduText …
2021
AI in Urdu
A seq to seq machine translation fromUrduto Chinese
Authors:
J. Zeeshan M. Zakira M. Niaz
… five notable order strategies onUrdulanguage corpus. The … out from the information to applyAIcalculations up to 94% precision[… on machine translation from Chinese toUrdulanguage. …
2021
AI in Urdu
MMU-OCR-21: Towards end-to-endUrdutext recognition using deep learning
Authors:
T. Nasir M. K. Malik K. Shahzad- I. E. E. E. Access 2021
… toUrdu[62]. For instance, both in Arabic andUrduthe flow of sentences is from right to left.Furthermore, many words inUrduare also derived or borrowed from Arabic andUrdufollows …