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Digital health translation is an important application of machine translation and multilingual technologies, and there is a growing need for accessibility in digital health …
Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic …
Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and …
The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used models in semantic technologies, have …
On social media, new forms of communication arise rapidly, many of which are intense, dispersed, and create new communities at a global scale. Such communities can act as distinct …
Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant …
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed …
Margaret Masterman was a pioneer in the field of computational linguistics. Working in the earliest days of language processing by computer, she believed that meaning, not grammar, …
Originally published in 1997, this book is concerned with human language technology. This technology provides computers with the capability to handle spoken and written language. …