Deep Natural Language Processing and AI Applications for Industry 5.0, Tanwar Poonam, Saxena Arti, Priya C.

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
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Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Автор: Lalitha Devi Sobha; Ant?nio Branco; Ruslan Mitkov
Название: Anaphora Processing and Applications
ISBN: 3642049745 ISBN-13(EAN): 9783642049743
Издательство: Springer
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Цена: 65210.00 T
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Описание: Distribution of anaphora in natural language and the complexity of its resolution have resulted in a wide range of disciplines focusing their research on this grammatical phenomenon.

Автор: Li Deng; Yang Liu
Название: Deep Learning in Natural Language Processing
ISBN: 9811052085 ISBN-13(EAN): 9789811052088
Издательство: Springer
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Цена: 102480.00 T
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Описание: A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Автор: Tanwar Poonam, Saxena Arti, Priya C.
Название: Deep Natural Language Processing and AI Applications for Industry 5.0
ISBN: 1799877280 ISBN-13(EAN): 9781799877288
Издательство: Mare Nostrum (Eurospan)
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Цена: 260570.00 T
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Описание: To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer's life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions.

Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Автор: Rao Delip
Название: Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
ISBN: 1491978236 ISBN-13(EAN): 9781491978238
Издательство: Wiley
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Цена: 76020.00 T
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Описание: If you`re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.

Автор: Dop Thomas
Название: Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
ISBN: 1789802741 ISBN-13(EAN): 9781789802740
Издательство: Неизвестно
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Цена: 53940.00 T
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Описание: Developers working with NLP will be able to put their knowledge to work with this practical guide to PyTorch. You will learn to use PyTorch offerings and how to understand and analyze text using Python. You will learn to extract the underlying meaning in the text using deep neural networks and modern deep learning algorithms.

Автор: Khaled Shaalan; Aboul Ella Hassanien; Fahmy Tolba
Название: Intelligent Natural Language Processing: Trends and Applications
ISBN: 3319670557 ISBN-13(EAN): 9783319670553
Издательство: Springer
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Цена: 232910.00 T
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Описание: 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">

Автор: M?rio Rodrigues; Ant?nio Teixeira
Название: Advanced Applications of Natural Language Processing for Performing Information Extraction
ISBN: 3319155628 ISBN-13(EAN): 9783319155623
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web.

Автор: Mbarki
Название: Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications
ISBN: 3319734199 ISBN-13(EAN): 9783319734194
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 11th International Conference, NooJ 2017, held in Kenitra and Rabat, Morocco, in May 2017. The 20 revised full papers presented in this volume were carefully reviewed and selected from 56 submissions.

Автор: Jialu Liu, Jingbo Shang, Jiawei Han
Название: Phrase Mining from Massive Text and Its Applications
ISBN: 1627058982 ISBN-13(EAN): 9781627058988
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
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Описание: Investigates one promising paradigm for representing unstructured text, that is, through automatically identifying high-quality phrases from innumerable documents. This volume proposes new principles and powerful methodologies, from the scenario where a user can provide meaningful guidance to a fully automated setting through distant learning.

Автор: Khaled Shaalan; Aboul Ella Hassanien; Fahmy Tolba
Название: Intelligent Natural Language Processing: Trends and Applications
ISBN: 3319883712 ISBN-13(EAN): 9783319883717
Издательство: Springer
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Цена: 260870.00 T
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Описание: 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.

Автор: Ignazio Mauro Mirto; Mario Monteleone; Max Silberz
Название: Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications
ISBN: 3030108678 ISBN-13(EAN): 9783030108670
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 12th International Conference, NooJ 2018, held in Palermo, Italy, in June 2018.The 17 revised full papers and 3 short papers presented in this volume were carefully reviewed and selected from 48 submissions. NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalize a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics. The papers in this volume are organized in topical sections on vocabulary and morphology; syntax and semantics; and natural language processing applications.