Springer, 2023. — 217 р. — ISBN 978-3-031-11035-1. This book presents recent advances in Natural Language Processing (NLP) and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology. The authors present results of recent experimental research that provides...
Birmingham: Packt Publishing, 2021. — 285 p. — ISBN 978-1838987312. Get to grips with real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization, with this practical guide. Key Features A recipe-based guide to analyzing varying complexities of text using the natural language toolkit (NLTK). Implement common and...
Packt Publishing, 2021. — 381 p. — ISBN 9781800200937. One-stop solution for NLP practitioners, ML developers and data scientists to build effective NLP systems that can perform real-world complicated tasks Key Features Implement deep learning algorithms such as BiLSTMS, CRFs, and many more using TensorFlow 2 Explore classical NLP techniques and libraries including...
O’Reilly Media, Inc., 2023. — 288 р. — ISBN-13: 978-1-098-12711-4. Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities—objects, events, situations, or abstract concepts—and encoding the underlying...
University Of Chicago Press, 2022-11-25. — 320 p. — ISBN-13: 978-0-226-82254-9. Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue that troubled mathematicians well before the computer age: How do you draw the line...
Amazon KDP Printing and Publishing C, 2019. — 123 p. — ASIN: B07V1F3PYQ. Today, a lot of data is available for processing. This data is generated by blogs, social websites and web pages. This data carries a lot of information. However, there is a need for a way that will help businesses transform the data into information. Natural Language Processing is one of such tools. It is...
CRC Press, 2022. — 256 p. — ISBN: 978-1003272649. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational...
IGI Global, 2020. — 1704 p. — ISBN: 978-1799809517. As technology continues to become more sophisticated, a computers ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror...
Dover Publications, Inc., 2020. — 384 p. — ISBN13: 978-0-486-83300-2. How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that...
CRC Press, 2024. — 176 р. — ISBN: 978-1-003-41389-9. Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as a Relational DataBase (RDB) interaction language, database administrators or...
Packt Publishing, 2021. — 340 p. — ISBN 9781838821593. Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face’s transformers library Key Features Explore the encoder and decoder of the transformer model Become well-versed with BERT along with ALBERT, RoBERTa, and DistilBERT Discover how to...
Packt Publishing Ltd., 2019. — 374 p. — ISBN: 978-1-78980-115-6. A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Natural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set...
Packt Publishing, 2021. — 385 p. — ISBN 9781800565791. Become an AI language understanding expert by mastering the quantum leap of Transformer neural network model Key Features Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning models Go through hands-on applications...
2nd ed. — Packt, 2020. — 254 p. — ISBN: 9781800208742. With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time Key Features Learn how to integrate Amazon's Simple Storage Services with AI and NLP projects Get to grips with serverless computing and its applications...
Springer, 2020. — 118 p. — ISBN: 978-3-030-52273-5 (eBook). This book describes approaches for integrating more automation to the early stages of EDA design flows. Readers will learn how natural language processing techniques can be utilized during early design stages, in order to automate the requirements engineering process and the translation of natural language...
IGI Global, 2020. — 227 p. — eISBN: 978-1-7998-1161-9. Information in todays advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves...
Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana. — O’Reilly Media, 2020. — 456 p. — ISBN13: 978-1-492-05405-4. 2020-06-17: First Release Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for...
Предлагаю переименовать раздел в Прикладная лингвистика, поскольку Компьютерная лингвистика является одним из основных направлений прикладной лингвистики (см. http://ru.wikipedia.org/wiki/Прикладная_лингвистика ; http://www.krugosvet.ru/enc/gumanitarnye_nauki/lingvistika/KOMPYUTERNAYA_LINGVISTIKA.html)
Though the term "applied linguistics" has traditionally been associated with the scientific study of such areas as TESOL, TEFL, TESL, language teaching and learning, applied linguists do a variety of things: The basic idea is, as the definition implies, to contribute to the real-world issues. Some of the questions that applied linguists ask include:
-How can languages best be learnt and taught? -What social factors affect language learning? -How can technology be used to contribute to the effectiveness of language teaching/learning? -What are the related problems associated with language disorders? How can these be prevented?http://www.appliedlinguistics.org/applied-linguistics-facts.htmlЯ тоже так думала пока не стала заниматься компьютерной лингвистикой. И я говорила про английский термин. В русском возможно так и есть
Имхо, два раздела необходимо объединить, иначе появляются дубли.Т.е. внутри Прикладной лингвистики (раздел Языки и языкознание) подраздел Компьютерная лингвистика, в который одновременно можно попасть из раздела Искусственный интеллект.
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Вся прикладная лингвистика уровнем выше.
-How can languages best be learnt and taught?
-What social factors affect language learning?
-How can technology be used to contribute to the effectiveness of language teaching/learning?
-What are the related problems associated with language disorders? How can these be prevented?http://www.appliedlinguistics.org/applied-linguistics-facts.htmlЯ тоже так думала пока не стала заниматься компьютерной лингвистикой. И я говорила про английский термин. В русском возможно так и есть