URDU

作品数:15被引量:6H指数:2
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相关领域:自动化与计算机技术更多>>
相关机构:山东财经大学哈尔滨工业大学广西大学北京邮电大学更多>>
相关期刊:《Computer Modeling in Engineering & Sciences》《Computers, Materials & Continua》《Intelligent Automation & Soft Computing》《General Psychiatry》更多>>
相关基金:国家自然科学基金高等学校学科创新引智计划更多>>
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Enhancing Communication Accessibility:UrSL-CNN Approach to Urdu Sign Language Translation for Hearing-Impaired Individuals
《Computer Modeling in Engineering & Sciences》2024年第10期689-711,共23页Khushal Das Fazeel Abid Jawad Rasheed Kamlish Tunc Asuroglu Shtwai Alsubai Safeeullah Soomro 
Deaf people or people facing hearing issues can communicate using sign language(SL),a visual language.Many works based on rich source language have been proposed;however,the work using poor resource language is still ...
关键词:Convolutional neural networks Pakistan sign language visual language 
LKMT:Linguistics Knowledge-Driven Multi-Task Neural Machine Translation for Urdu and English
《Computers, Materials & Continua》2024年第10期951-969,共19页Muhammad Naeem Ul Hassan Zhengtao Yu Jian Wang Ying Li Shengxiang Gao Shuwan Yang Cunli Mao 
supported by the National Natural Science Foundation of China under Grant(61732005,61972186);Yunnan Provincial Major Science and Technology Special Plan Projects(Nos.202103AA080015,202203AA080004).
Thanks to the strong representation capability of pre-trained language models,supervised machine translation models have achieved outstanding performance.However,the performances of these models drop sharply when the ...
关键词:Urdu NMT(neural machine translation) Urdu natural language processing Urdu Linguistic features low resources language linguistic features pretrain model 
Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning
《Computers, Materials & Continua》2024年第4期713-733,共21页Aizaz Ali Maqbool Khan Khalil Khan Rehan Ullah Khan Abdulrahman Aloraini 
Sentiment analysis, a crucial task in discerning emotional tones within the text, plays a pivotal role in understandingpublic opinion and user sentiment across diverse languages.While numerous scholars conduct sentime...
关键词:Urdu sentiment analysis convolutional neural networks recurrent neural network deep learning natural language processing neural networks 
RUSAS: Roman Urdu Sentiment Analysis System
《Computers, Materials & Continua》2024年第4期1463-1480,共18页Kazim Jawad Muhammad Ahmad Majdah Alvi Muhammad Bux Alvi 
Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the intern...
关键词:Roman Urdu sentiment analysis Roman Urdu language detector Roman Urdu spelling checker FLASK 
ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu
《Intelligent Automation & Soft Computing》2024年第2期301-317,共17页Aiman Muhammad Arshad Bilal Khan Khalil Khan Ali Mustafa Qamar Rehan Ullah Khan 
This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text...
关键词:Machine learning author profiling AdaBoostM1 random forest ensemble learning text classification 
Neural Machine Translation Models with Attention-Based Dropout Layer
《Computers, Materials & Continua》2023年第5期2981-3009,共29页Huma Israr Safdar Abbas Khan Muhammad Ali Tahir Muhammad Khuram Shahzad Muneer Ahmad Jasni Mohamad Zain 
This work was supported by the Institute for Big Data Analytics and Artificial Intelligence(IBDAAI),Universiti Teknologi Mara,Shah Alam,Selangor.Malaysia.
In bilingual translation,attention-based Neural Machine Translation(NMT)models are used to achieve synchrony between input and output sequences and the notion of alignment.NMT model has obtained state-of-the-art perfo...
关键词:Natural language processing neural machine translation word embedding ATTENTION PERPLEXITY selective dropout regularization URDU PERSIAN Arabic BLEU 
Recognition of Urdu Handwritten Alphabet Using Convolutional Neural Network (CNN)
《Computers, Materials & Continua》2022年第11期2967-2984,共18页Gulzar Ahmed Tahir Alyas Muhammad Waseem Iqbal Muhammad Usman Ashraf Ahmed Mohammed Alghamdi Adel A.Bahaddad Khalid Ali Almarhabi 
This project was funded by the Deanship of Scientific Research(DSR),King Abdul-Aziz University,Jeddah,Saudi Arabia under Grant No.(RG-11-611-43).
Handwritten character recognition systems are used in every field of life nowadays,including shopping malls,banks,educational institutes,etc.Urdu is the national language of Pakistan,and it is the fourth spoken langua...
关键词:Urdu handwritten text recognition handwritten dataset convolutional neural network artificial intelligence machine learning deep learning 
Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning被引量:1
《Computer Modeling in Engineering & Sciences》2022年第6期1263-1287,共25页Bilal Chandio Asadullah Shaikh Maheen Bakhtyar Mesfer Alrizq Junaid Baber Adel Sulaiman Adel Rajab Waheed Noor 
the Deputy for Study and Innovation,Ministry of Education,Kingdom of Saudi Arabia,for funding this research through a Grant(NU/IFC/INT/01/008)from the Najran University Institutional Funding Committee.
Sentiment analysis task has widely been studied for various languages such as English and French.However,Roman Urdu sentiment analysis yet requires more attention from peer-researchers due to the lack of Off-the-Shelf...
关键词:Sentiment analysis Roman Urdu machine learning SVM 
Urdu Ligature Recognition System:An Evolutionary Approach
《Computers, Materials & Continua》2021年第2期1347-1367,共21页Naila Habib Khan Awais Adnan AbdulWaheed Mahdi Zareei Abdallah Aldosary Ehab Mahmoud Mohamed 
Cursive text recognition of Arabic script-based languages like Urdu is extremely complicated due to its diverse and complex characteristics.Evolutionary approaches like genetic algorithms have been used in the past fo...
关键词:Classification rules genetic algorithm intra-feature hierarchical clustering ligature recognition Urdu script 
Roman Urdu News Headline Classification Empowered with Machine Learning被引量:2
《Computers, Materials & Continua》2020年第11期1221-1236,共16页Rizwan Ali Naqvi Muhammad Adnan Khan Nauman Malik Shazia Saqib Tahir Alyas Dildar Hussain 
This work is supported by the KIAS(Research Number:CG076601)and in part by Sejong University Faculty Research Fund.
Roman Urdu has been used for text messaging over the Internet for years especially in Indo-Pak Subcontinent.Persons from the subcontinent may speak the same Urdu language but they might be using different scripts for ...
关键词:Roman urdu news headline classification long short term memory recurrent neural network logistic regression multinomial naïve Bayes random forest k neighbor gradient boosting classifier 
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