Computational Linguistics, Speech And Image Processing For Arabic Language

This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.
The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.
Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Product details

• Authors: Neamat El Gayar, Neamat El Gayar & Ching Y Suen
• Assisted by: Ching Y Suen (Editor), Neamat El Gayar (Editor), Neamat El Gayar (Editor), Ching Yee Suen (Editor)
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 30.11.2018
• EAN: 9789813229389
• ISBN: 978-981-3229-38-9
• Series: Series on Language Processing,; Language Processing, Pattern R; Series on Language Processing, Pattern Recognition, and Intelligent Systems
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; COMPUTERS / Speech & Audio Processing, COMPUTERS / Image Processing, Arabic, Image processing, Computational Linguistics, Natural language & machine translation, COMPUTERS / Computer Architecture, Natural language and machine translation, Computational and corpus linguistics, Speech recognition