This volume's goal is to begin to document the dialogue processes in naturally-occurring human tutoring, in the context of informing the design of intelligent tutoring systems, and of interactive systems in general.
This volume's goal is to begin to document the dialogue processes in naturally-occurring human tutoring, in the context of informing the design of intelligent tutoring systems, and of interactive systems in general.
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.
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.
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.
Detailed yet accessible, Translation and Localization brings together the research and insights of veteran practicing translators to offer comprehensive guidance for technical communicators.
Detailed yet accessible, Translation and Localization brings together the research and insights of veteran practicing translators to offer comprehensive guidance for technical communicators.
The book unravels fundamental concepts that underpin deep learning, allowing even those without prior technical knowledge to grasp the intricacies of neural networks and machine learning algorithms.
Machine Translation (MT) is both an engineering technology and a measure of all things to do with languages and computers-whenever a new theory of language or linguistics is offered, an important criteria for its success is whether or not it will improve machine translation.
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis.
"e;New Trends and Technologies in Computer-Aided Learning for Computer-Aided Design"e; contains the proceedings from the EduTech Workshop, an IFIP TC-10 Working Conference held in Perth, Australia.
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.
Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction.
The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind.
The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind.
This book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB) and sheds light on their different aspects from various perspectives, focusing on their construction and use in natural language processing (NLP).
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.
The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (AI), which is hardly surprising, since storytelling is such a fundamental and familiar intellectual and social activity.
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensimImplement common and not-so-common linguistic processing tasks using Python librariesOvercome the common challenges faced while implementing NLP pipelinesBook DescriptionPython is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data.
