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Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic …
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 …
Language resources and computational models are becoming increasingly important for the study of language variation. A main challenge of this interdisciplinary field is that …
This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry Patten demonstrates that systemic grammar can be easily …
Digital health translation is an important application of machine translation and multilingual technologies, and there is a growing need for accessibility in digital health …
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 …
This book presents a detailed description of Spoken Language Translator (SLT), one of the first major projects in the area of automatic speech translation. The SLT system can …
This book is an investigation into the problems of generating natural language utterances to satisfy specific goals the speaker has in mind. It is thus an ambitious and significant …
This book is concerned with the machine-based generation of natural language text and presents a formal analysis of problems that in the main have previously only been approached …
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but …