Mohamed Al-Badrashiny

Also published under:Mohamed A. S. A. A. Al-Badrashiny, Mohamed A. Al-Badrashiny

Affiliation

aiXplain Inc., Los Gatos, CA, USA

Topic

Arabic Text,Arabic Word,Input Word,Language Model,Probability Estimates,Training Corpus,Training Data,Word Error Rate,Words In The Lexicon,After Dropping,Arabic Spelling,Automatic Correction,Automatic Speech Recognition System,Blinded Study,Candidate Generation,Commercial Technology,Compression Level,Conditional Probability,Correct Spelling,Correction Process,Coverage Problem,Deletion Errors,Detection Process,Dictionary Size,Edit Distance,Error Detection,Error Rate,Factor Model,Ground Truth Reference,Highly Correlated,Hybrid Architecture,Hybrid System,Increase In Size,Input Text,Large Datasets,Levenshtein Distance,Margin Of Error,Maximum A Posteriori,Maximum Entropy,Morphemes,Morphological Analysis,Optical Character Recognition,Paired Datasets,Pairwise Rank,Performance Of Different Models,Phonetic Transcription,Pre-trained Language Models,Precision And Recall,Precision Rate,Quality Estimation,

Biography

Mohamed A. S. A. A. Al-Badrashiny received the B.Sc., and M.Sc. degrees in electronics and electrical communications from the Faculty of Engineering, Cairo University, Cairo, Egypt.
Over the last three years, he has served as an R&D Engineer in the Engineering Company for the Development of Computer Systems and also in the Egyptian Data Mining and Computer Modeling Center of Excellence (DMCM-CoE), where he has been conducting research and building applications of machine learning for Arabic NLP. Recently, he joined the King Abdul-Aziz City for Science and Technology (KACST), Riyadh, KSA, as a Senior Arabic NLP Researcher.