This book uses computational methods and statistical analysis to challenge traditional assumptions about the plays of Shakespeare and his contemporaries.
This book demonstrates how the underlying principles of the English-based FrameNet project are successfully applied to the description and analysis of typologically diverse languages.
Cognitive and Computational Strategies for Word Sense Disambiguation examines cognitive strategies by humans and computational strategies by machines, for WSD in parallel.
This book offers new perspectives on the study of Chinese lexical semantics, as well as discourse analysis and cognitive pragmatics based on lexical semantics.
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication?
This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology.
This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology.
This book provides a state-of-the-art introduction to categorial grammar, a type of formal grammar which analyses expressions as functions or according to a function-argument relationship.
From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right?
Published in 2005, Michael Hoey's Lexical Priming - A new theory of words and language introduced a completely new theory of language based on how words are used in the real world.
In this handbook, renowned scholars from a range of backgrounds provide a state of the art review of key developmental findings in language acquisition.
This is the first volume of a unique collection that brings together the best English-language problems created for students competing in the Computational Linguistics Olympiad.
Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data.
This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins.
Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language.
Computational Psycholinguistics: An Interdisciplinary Approach to the Study of Language investigates the architecture and mechanisms which underlie the human capacity to process language.
This volume brings together selected and revised papers from the international conference on "e;Recent Advances in Natural Language Processing"e;, held in Borovets, Bulgaria, in September 2005.
Understanding Artificial Minds through Human Minds: The Psychology of Artificial Intelligence provides an accessible introduction into artificial intelligence through the lens of psychology.
Combining the fields of phraseology and contrastive analysis, this book describes how patterns, defined as recurrent word-combinations with semantic unity, behave cross-linguistically.
The community responsible for developing lexicons for Natural Language Processing (NLP) and Machine Readable Dictionaries (MRDs) started their ISO standardization activities in 2003.
This volume presents articles that focus on the application of formal models in the study of language in a variety of innovative ways, and is dedicated to Jacques Moeschler, professor at University of Geneva, to mark the occasion of his 60th birthday.
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.
