Natural language and machine translation

No detailed description available for "e;Google Machine Learning and Generative AI for Solutions Architects"e;.

Textual information in the form of digital documents quickly accumulates to create huge amounts of data.

Textual information in the form of digital documents quickly accumulates to create huge amounts of data.

The community responsible for developing lexicons for Natural Language Processing (NLP) and Machine Readable Dictionaries (MRDs) started their ISO standardization activities in 2003.

The community responsible for developing lexicons for Natural Language Processing (NLP) and Machine Readable Dictionaries (MRDs) started their ISO standardization activities in 2003.

This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language.

This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language.

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).

Reveals how AI works and provides insight into what we can expect of it now and in the future.

Reveals how AI works and provides insight into what we can expect of it now and in the future.

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

Considers how natural language generation conforms to and confronts traditional understandings of authorship and what it means as a reader.

Considers how natural language generation conforms to and confronts traditional understandings of authorship and what it means as a reader.

This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.

A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.

Covers the whole spectrum of finite-state methods, from theory to practical applications.

This cross-disciplinary exploration of MMOs and other complex online worlds melds work from computer science, psychology and social science.

This cross-disciplinary exploration of MMOs and other complex online worlds melds work from computer science, psychology and social science.

Introduces the integration of theoretical and applied translation studies for socially-oriented and data-driven empirical translation research.

This book uses recent computational models to explore issues related to language and cognition.

This book formalizes commonsense knowledge to enable artificial intelligence to understand and engage with the mental lives of people.

This book uses recent computational models to explore issues related to language and cognition.

This book formalizes commonsense knowledge to enable artificial intelligence to understand and engage with the mental lives of people.

This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.

This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.

Delving into ChatGPT's architecture and ability to generate human-like text, chapters go beyond technical explanations, exploring the factors contributing to ChatGPT's widespread adoption and its significance in society and industry.

No detailed description available for "e;Building Data-Driven Applications with LlamaIndex"e;.

Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning.

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error.

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error.

La PNL è un settore ampio e multidisciplinare, quindi questo libro può fornire solo un'introduzione molto generale.

This Element analyses real-world trial courts data with state-of-the-art machine learning and causal inference methods.

This Element analyses real-world trial courts data with state-of-the-art machine learning and causal inference methods.

Explains methods behind machine learning systems to personalize predictions to individual users, from recommendation to dating and fashion.

Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them to various computer vision and natural language processing problemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe field of deep learning has developed rapidly recently and today covers a broad range of applications.

No detailed description available for "e;Accelerating IoT Development with ChatGPT"e;.

No detailed description available for "e;Unlocking the Secrets of Prompt Engineering"e;.

2024 Edition - Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants.

Unlock the Power of AI: Revolutionize Your Marketing Strategy with Artificial Intelligence, Real Profits: Mastering ChatGPT-4 for Business Marketing.

Many programmers code by instinct, relying on convenient habits or a "e;style"e; they picked up early on.

With a worldwide community of users and more than a million dedicated programmers, Perl has proven to be the most effective language for the latest trends in computing and business.

Many programmers code by instinct, relying on convenient habits or a "e;style"e; they picked up early on.

With this volume in honour of Don Walker, Linguistica Computazionale con- tinues the series of special issues dedicated to outstanding personalities who have made a significant contribution to the progress of our discipline and maintained a special collaborative relationship with our Institute in Pisa.

Electronic Multimedia Publishing brings together in one place important contributions and up-to-date research results in this fast moving area.

Although not evident to all, many people have been waiting more than a decade for The SGML FAQ Book by Steve DeRose.

The first book to present the basic techniques and main results of this expanding field of research.