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Titlebook: Intelligent Natural Language Processing: Trends and Applications; Khaled Shaalan,Aboul Ella Hassanien,Fahmy Tolba Book 2018 Springer Inter

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發(fā)表于 2025-3-21 18:02:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Natural Language Processing: Trends and Applications
編輯Khaled Shaalan,Aboul Ella Hassanien,Fahmy Tolba
視頻videohttp://file.papertrans.cn/470/469844/469844.mp4
概述Presents state-of-the-art research on natural language processing, computational linguistics, applied Arabic linguistics, and related areas.Highlights emerging trends in natural language processing sy
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Intelligent Natural Language Processing: Trends and Applications; Khaled Shaalan,Aboul Ella Hassanien,Fahmy Tolba Book 2018 Springer Inter
描述.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
出版日期Book 2018
關(guān)鍵詞Big Data; Natural Language Processing; NLP; Computational Linguistics; Computational Intelligence
版次1
doihttps://doi.org/10.1007/978-3-319-67056-0
isbn_softcover978-3-319-88371-7
isbn_ebook978-3-319-67056-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/469844.jpg
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https://doi.org/10.1007/978-3-319-67056-0Big Data; Natural Language Processing; NLP; Computational Linguistics; Computational Intelligence
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Using Twitter to Monitor Political Sentiment for Arabic Slangram and bigram) and another time by using feature selection. The main objective of this paper is to measure the accuracy of each method and determine which method is more accurate for Arabic text classification. The results show that unigram and information gain attribute selection achieves the highest accuracy and the lowest error rate.
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The Key Challenges for Arabic Machine Translationfrom handling a complex and rich vocabulary, to designing adequate MT metrics that take morphology into consideration. We present and highlight the key challenges for Arabic language translation into English.
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Book 2018vities 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 bo
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