Analysis and Application of Natural Language and Speech Processing

Dr. Mourad Abbas is research director at High Council of Arabic. He taught courses in different schools and universities: signal processing, radio-engineering, operating systems. His research interests include the major issues related to natural language processing, in particular to Arabic language and its dialects. He is interested in Machine translation, Speech recognition, Language identification, Natural Language Understanding, Under-resourced Languages and more other topics. Dr. Abbas published more than sixty papers, and co-edited proceedings of conferences and workshops (ICNLSP, NSURL) in Elsevier, ACL Anthology, IEEExplore. He reviewed for many journals as: Language Resources and Evaluation, Digital Signal Processing, Engineering Applications of Artificial Intelligence, and conferences as ICASSP, Interspeech, Coling, NAACL-HLT, etc. He founded the International Conference on Natural Language and Speech Processing, in 2015.

Chapter 1. ITAcotron 2: the Power of Transfer Learning in Expressive TTS Synthesis.- Chapter 2. Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding.- Chapter 3. Kabyle ASR Phonological Error and Network Analysis.- Chapter 4. ALP: an Arabic Linguistic Pipeline.- Chapter 5. Arabic Anaphora Resolution System using New Features: Pronominal and Verbal cases.- Chapter 6. A Commonsense-enhanced Document-Grounded Conversational Agent: A Case Study on Task-based Dialogue.- Chapter 7. BloomQDE: Leveraging Bloom's Taxonomy for Question Difficulty Estimation.- Chapter 8. A Comparative Study on Language Models for Dravidian Languages.- Chapter 9. Arabic Named Entity Recognition with a CRF model based on Transformer Architecture.- Chapter 10. Static Fuzzy Bag-of-Words: Exploring Static Universe Matrices for Sentence Embeddings.