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...
MIT Press, 2024. — 504 p. An anthology of seven decades of English-language outputs from computer generation systems, chronicling the vast history of machine-written texts created long before ChatGPT. The discussion of computer-generated text has recently reached a fever pitch but largely omits the long history of work in this area—text generation, as it happens, was not...
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...
Quercus, 2016. — 240 p. — ISBN10: 1623651646, ISBN13: 978-1623651640. Composed of 100 bite-sized entries of 400 to 600 words each, Netymology weaves together stories, etymologies and analyses around digital culture's transformation and vocabulary. Chatfield presents a kaleidoscopic, thought-provoking tour through the buried roots of the symbols, speech, and mannerisms we have...
Packt, 2020. - 452p. - ISBN: 9781800208421 Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text data Key Features Get familiar with key natural language processing (NLP) concepts and terminology Explore the functionalities and features of popular NLP tools Learn how to use Python programming and third-party...
Springer, 2021. –—292 p. — ISBN 9811629595. Аннотации и обработка языковых корпусов This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the...
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...
North Holland, 2018. — 508 p. — (Handbook of Statistics, 38). — ISBN 978-0444640420. Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core...
Pelican Book, 2018. — 130 p. — ISBN: 0241269156. What is reality, really? Are humans more special or important than the non-human objects we perceive? How does this change the way we understand the world? We humans tend to believe that things are only real in as much as we perceive them, an idea reinforced by modern philosophy, which privileges us as special, radically...
Morgan Kaufmann/Elsevier, 2024. — 254 p. — ISBN 978-0-443-22009-8. Методы вычислительного интеллекта для анализа настроений в приложениях обработки естественного языка. Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for...
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...
Independently published, 2024. — 189 p. Unlock the full potential of regular expressions (regex) with this comprehensive guide designed for developers, data scientists, and anyone who works with text. "Mastering Regular Expressions" takes you from the basics of pattern matching to advanced concepts, offering practical examples, real-world applications, and hands-on exercises to...
Springer, 2020. — 103 p. — (SpringerBriefs in Computer Science). — ISBN: 9811505942. Синхронный перевод This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e.,...
Wiley-Scrivener, 2024. — 646 p. This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing...
IGI Global, 2023. — 290 p. Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in Artificial...
Springer, 2021. — 188 p. — (History of Computing). — ISBN 978-3-030-70641-8. Automating Linguistics offers an in-depth study of the history of the mathematisation and automation of the sciences of language. In the wake of the first mathematisation of the 1930s, two waves followed: machine translation in the 1950s and the development of computational linguistics and natural...
2nd Edition. — Springer, 2023. — 535 p. — ISBN 978-981-99-1599-6. Обучение представлениям для обработки естественного языка This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I...
The MIT Press, 2021. — 448 p. — ISBN 978-0262045582. A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and...
De Gruyter Mouton, 2021. — 458 p. — (Trends in Linguistics. Studies and Monographs [TiLSM] 347). — ISBN 978-3110694703. The monograph presents the Meaning-Text approach applied to the domain of syntax from a typological angle; it deals with several long-standing syntactic problems on the basis of a dependency description. Its content can be presented in five parts + an...
Oxford University Press, 2003. — 717 p. Thirty-eight chapters, commissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics. Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines. Part II...
2nd Edition. — Oxford University Press, 2022. — 1392 p. Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis,...
Springer, 2022. — 230 p. — ISBN-13 9783658400279. — ISBN-10 3658400277. Significant advances in the field of Artificial Intelligence (AI) have given a strong tailwind to the spread of technologies based on it. AI technologies are increasingly influencing private contexts but also the service sector where more and more service encounters are handled by chatbots. In part,...
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, 2018. — 318 p. Explore various approaches to organize and extract useful text from unstructured data using Java Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of...
Springer, 2025. — 208 p. — ISBN 978-3-031-68581-1. Генерация естественного языка In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich...
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, 2024. — 230 p. — ISBN 978-3-031-43810-3. Лингвистические ресурсы для обработки естественного языка: о необходимости использования лингвистических методов для разработки программного обеспечения НЛП Empirical - data-driven, neural network-based, probabilistic, and statistical ? methods seem to be the modern trend. Recently, OpenAI’s ChatGPT, Google’s Bard and...
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...
Springer, 2020. — 197 p. — ISBN: 9783030562342. This book presents comprehensive solutions for readers wanting to develop their own Natural Language Processing projects for the Thai language. Starting from the fundamental principles of Thai, it discusses each step in Natural Language Processing, and the real-world applications. In addition to theory, it also includes practical...
Packt Publishing, 2021. — 296 p. — ISBN 978-1-80056-319-3. Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python Key Features Understand the power of potential GPT-3 language models and the risks involved Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples Plan and...
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...
Independently published, 2023. — 80 p. — ASIN B0CMDJX66N. Tailored for those with a foundational understanding, this guide thrusts you into the heart of advanced NLP techniques, ensuring you gain mastery over the subject. Deep Dives, Deeper Insights: Each chapter is designed to plunge you into specific toolkits, exploring their capabilities, advanced features, and potential...
Packt Publishing, 2021. — 374 p. — ISBN 978-1-80107-765-1. Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems...
Cambridge University Press, 2021. — 484 p. — ISBN 9781108420211. With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including...
Elsevier, 2021. — 272 p. — ISBN 978-0323901185. Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms...
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.
Комментарии
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