Exploring The Lexis Grammar Interface
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Exploring the Lexis-grammar Interface
With fresh state-of-the-art perspectives on language patterning, this volume showcases studies that recognize and provide evidence for the inseparability of lexis and grammar. The contributors explore in what ways these two areas, often treated separately in linguistic theory and description, form an organic whole.
Exploring the LexisGrammar Interface
Author: Ute Römer
language: en
Publisher: John Benjamins Publishing
Release Date: 2009-03-11
This volume showcases studies that recognize and provide evidence for the inseparability of lexis and grammar. The contributors explore in what ways these two areas, often treated separately in linguistic theory and description, form an organic whole. The papers in Section I (Setting the Scene) introduce some of the key methodological approaches and theoretical positions at the lexis-grammar interface, while Section II (Considering the Particulars) contains papers that report on case studies and show concrete applications of the central methods and theories. Exploring the Lexis-Grammar Interface is a stimulating collection of papers for anyone who wishes to learn more about and get fresh state-of-the-art perspectives on language patterning.
Spreading Activation, Lexical Priming and the Semantic Web
This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP.