Natural language and machine translation

This volume offers an expansion of ideas presented at a recent conference convened to identify the major strategies and more promising practices for assessing technology.

Translation and Globalization is essential reading for anyone with an interest in translation, or a concern for the future of our world's languages and cultures.

Translation and Globalization is essential reading for anyone with an interest in translation, or a concern for the future of our world's languages and cultures.

Translation is living through a period of revolutionary upheaval.

Translation is living through a period of revolutionary upheaval.

Researchers have been attempting to develop systems that would emulate the human translation process for some forty years.

Researchers have been attempting to develop systems that would emulate the human translation process for some forty years.

Studies have demonstrated that choices in the use of language convey information that goes beyond the content of the words themselves.

Studies have demonstrated that choices in the use of language convey information that goes beyond the content of the words themselves.

This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.

This work presents a goal-based model of decision making in which the relative priorities of goals drive the decision process -- a psychological alternative to traditional decision analysis.

This work presents a goal-based model of decision making in which the relative priorities of goals drive the decision process -- a psychological alternative to traditional decision analysis.

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation.

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation.

The design and functioning of an information system improve to the extent that the system can handle the questions people ask.

The design and functioning of an information system improve to the extent that the system can handle the questions people ask.

Computing has had a dramatic impact on the discipline of linguistics and is shaping the way we conceptualize both linguistics and language.

Computing has had a dramatic impact on the discipline of linguistics and is shaping the way we conceptualize both linguistics and language.

Language in Society introduces the study of the relationship between language and society, also known as sociolinguistics, without assuming any prior knowledge of linguistics.

'HyperReality is a technological capability like nanotechnology, human cloning and artificial intelligence.

'HyperReality is a technological capability like nanotechnology, human cloning and artificial intelligence.

This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning).

This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning).

Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology.

Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology.

This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP).

This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP).

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.

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).

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.

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

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.

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.