Representation and parsing of multiword expressions

Author:   Yannick Parmentier ,  Jakub Waszczuk
Publisher:   Language Science Press
ISBN:  

9783961101467


Pages:   324
Publication Date:   01 July 2019
Format:   Hardback
Availability:   In stock   Availability explained
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Representation and parsing of multiword expressions


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Overview

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches.

Full Product Details

Author:   Yannick Parmentier ,  Jakub Waszczuk
Publisher:   Language Science Press
Imprint:   Language Science Press
Dimensions:   Width: 17.00cm , Height: 1.90cm , Length: 24.40cm
Weight:   0.717kg
ISBN:  

9783961101467


ISBN 10:   3961101469
Pages:   324
Publication Date:   01 July 2019
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Yannick Parmentier is an Associate Professor at Université de Lorraine, France. He got his PhD in Computer Science in 2007 from Henri Poincaré University, Nancy, France. During his PhD, he took part in the design and implementation of the XMG description language and its application to the formal description of French syntax and semantics. In 2007-2008, he was a postdoctoral research fellow at University of Tübingen, Germany, where he worked on symbolic parsing with tree-based grammars. From 2009 to 2017, he was an Associate Professor at Université d'Orléans working on constraint-based approaches in computational linguistics.

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