Practical Solutions for Diverse Real-World NLP Applications
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Dr. Mourad Abbas is research director at the High Council of Arabic, specializing in the dynamic field of natural language processing with a primary focus on the Arabic language and its diverse dialects. With a passion for pushing the boundaries of NLP, Dr. Abbas' research interests span a wide range of crucial topics, including machine translation, speech recognition, language identification, natural language understanding, and the challenges faced by under-resourced languages.
Throughout his career, Dr. Abbas has made many contributions to the academic community, having published over sixty impactful papers. He has also played an important role in editing the proceedings of renowned conferences and workshops such as ICNLSP and NSURL, featured in prestigious platforms like Elsevier, ACL Anthology, and IEEExplore.
Recognized as an expert in his field, Dr. Abbas is actively engaged in peer review activities for distinguished journals, such as Language Resources and Evaluation, and Digital Signal Processing, along with conferences like ICASSP, Interspeech, Coling, and NAACL-HLT.
Content
Introduction.- Language resources.- Spoken language understanding system for under-resourced languages.- Speech recognition applications for code switched under-resourced dialects.- Speaker identification.- Speech synthesis.- Machine translation for under-resourced languages.- Sentiment analysis and opinion mining.- Language and dialect identification.- Conclusion.
