Intelligent Natural Language Processing: Trends and Applications

Springer (Verlag)
  • erschienen am 1. September 2018
  • Buch
  • |
  • Softcover
  • |
  • 788 Seiten
978-3-319-88371-7 (ISBN)
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned.
Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas.
New trends in natural language processing systems are rapidly emerging - and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language
technology solutions.

The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
Softcover reprint of the original 1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 73 s/w Abbildungen, 142 farbige Abbildungen, 100 farbige Tabellen
  • |
  • 100 Tables, color; 142 Illustrations, color; 73 Illustrations, black and white; X, 776 p. 215 illus., 142 illus. in color.
  • Höhe: 235 mm
  • |
  • Breite: 155 mm
  • |
  • Dicke: 41 mm
  • 1169 gr
978-3-319-88371-7 (9783319883717)
weitere Ausgaben werden ermittelt
Features Extraction and On-Line Recognition of Isolated Arabic Characters.- Using Text Mining Techniques for Extracting Information from Research Articles.- Authorship and Time Attribution of Arabic Texts Using JGAAP.- TALAA-ATSF: A Global Operation-Based Arabic Text Summarization Framework.- e="Calibri">An Evaluation of the Morphological Analysis of Egyptian Arabic TreeBank.- Alserag: An Automatic Diacritization System for Arabic.- font-size:11.0pt; line-height:107%;font-family:"Calibri","sans-serif";mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family:Arial;mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">Developing a Transfer-based System for Arabic Dialects Translation.- Education and Knowledge Based Augmented Reality (AR).- 7%;font-family:"Calibri","sans-serif";mso-ascii-theme-font:minor-latin; mso-fareast-font-familyText Mining and Analytics: A Case Study from Channels Posts on Facebook.- A New Semantic Distance Measure for the VSM-Based Information Retrieval Systems.-family:"Calibri","sans-serif";mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family:Arial;mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">

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