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Application of Graph Rewriting to Natural Language Processing (Cognitive Science: Logic, Linguistics and Computer Science Set, 1) - Hardcover
Synopsis
The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. Deep syntax is an abstraction of syntactic dependencies towards semantics in the form of graphs and there is a compact way of representing the semantics in an underspecified logical framework also with graphs. Then, Graph Rewriting reconciles efficiency with linguistic readability for producing representations at some linguistic level by transformation of a neighbor level: from raw text to surface syntax, from surface syntax to deep syntax, from deep syntax to underspecified logical semantics and conversely.
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About the Author
Guillaume Bonfante is a senior lecturer at the University of Lorraine, France.
Bruno Guillaume is a researcher at Inria Nancy Grand-Est, France.
Guy Perrier is Professor Emeritus at the University of Lorraine, France.
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Application of Graph Rewriting to Natural Language Processing
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