Natural language processing with transformers, revised edition, Tunstall, Lewis Von Werra, Leandro Wolf, Thomas

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: Oswald Campesato
Название: Natural Language Processing Fundamentals for Developersbility of Aircraft Gas Turbine Combustors
ISBN: 1683926579 ISBN-13(EAN): 9781683926573
Издательство: Mare Nostrum (Eurospan)
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Цена: 55440.00 T
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Описание: A book for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics.

Автор: Perkins Jacob, Hardeniya Nitin, Chopra Deepti
Название: Natural Language Processing: Python and NLTK
ISBN: 1787285103 ISBN-13(EAN): 9781787285101
Издательство: Неизвестно
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Цена: 104210.00 T
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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: Philipp Koehn
Название: Neural Machine Translation
ISBN: 1108497322 ISBN-13(EAN): 9781108497329
Издательство: Cambridge Academ
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Цена: 66530.00 T
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Описание: Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving illuminating historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734745 ISBN-13(EAN): 9781681734743
Издательство: Mare Nostrum (Eurospan)
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Цена: 61910.00 T
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Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.

Автор: Roberto Basili; Cristina Bosco; Rodolfo Delmonte;
Название: Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project
ISBN: 3319142054 ISBN-13(EAN): 9783319142050
Издательство: Springer
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Цена: 121890.00 T
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Описание: The papers collected in this volume are selected as a sample of the progress in Natural Language Processing (NLP) performed within the Italian NLP community and especially attested by the PARLI project.

Автор: Whitehead Martin
Название: Handbook of Computational Linguistics and Natural Language Processing
ISBN: 1632409755 ISBN-13(EAN): 9781632409751
Издательство: Неизвестно
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Цена: 155510.00 T
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Описание: Computational linguistics deals with the study of the morphology of language as well as its syntax and dynamic use in order to enable machines process human language. There are numerous applications of this field, such as text-to-speech software, speech recognition and grammar checking. The ability of a computer program to understand human language is known as natural language processing. The two main techniques used with natural language processing are semantic and syntax analysis. Some of the syntax techniques are parsing, word segmentation and sentence breaking. The techniques which are associated with semantics are word sense disambiguation, named entity recognition and natural language generation. This book provides significant information of this discipline to help develop a good understanding of computational linguistics and natural language processing. It will serve as a valuable source of reference for graduate and post graduate students.

Автор: Tanwar Poonam, Saxena Arti, Priya C.
Название: Deep Natural Language Processing and AI Applications for Industry 5.0
ISBN: 1799877299 ISBN-13(EAN): 9781799877295
Издательство: Mare Nostrum (Eurospan)
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Цена: 196810.00 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: Huang
Название: Natural Language Processing and Chinese Computing
ISBN: 3319736175 ISBN-13(EAN): 9783319736174
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 6th CCF International Conference on Natural Language Processing, NLPCC 2017, held in Dalian, China, in November 2017. The 47 full papers and 39 short papers presented were carefully reviewed and selected from 252 submissions.

Автор: Reese Richard M., Bhatia Ashishsingh
Название: Natural Language Processing with Java
ISBN: 1788993497 ISBN-13(EAN): 9781788993494
Издательство: Неизвестно
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Цена: 53940.00 T
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Описание: Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You will leverage the power of Java to extract relationships within different elements of text and documents.

Автор: Wong Kam-fai, Gao Wei, Li Wenjie, Xu Ruifeng
Название: Social Media Content Analysis: Natural Language Processing And Beyond
ISBN: 981322360X ISBN-13(EAN): 9789813223608
Издательство: World Scientific Publishing
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Цена: 163680.00 T
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Описание:

Social media platforms have been ubiquitously used in our daily lives and are steadily transforming the ways people communicate, socialize and conduct business. However, the growing popularity of social media adversely leads to wild spread of unreliable information. This in turn inevitably creates serious pollution problem of the global social media environment, which is harmful against humanity. For example, President Donald Trump used social media strategically to win in the 2016 USA Presidential Election. But it was found that many messages he delivered over social media were unproven, if not untrue. This problem must be prevented at all cost and as soon as possible. Thus, analysis of social media content is a pressing issue. It is a timely and important research subject worldwide. However, the short and informal nature of social media messages renders conventional content analysis, which is based on natural language processing (NLP), ineffective. This volume consists of a collection of highly relevant scientific articles published by the authors in different international conferences and journals, and is divided into three distinct parts: (I) search and filtering; (II) opinion and sentiment analysis; and (III) event detection and summarization. This book presents the latest advances in NLP technologies for social media content analysis, especially content on microblogging platforms such as Twitter and Weibo.