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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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University of Delaware, USA
Jeffrey Heinz
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Nantes University, USA
Colin Higuera
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Tilburg University, USA
Menno Zaanen
About the authors
Menno van Zaanen received his Ph.D. from the University of Leeds, UK in 2002. He holds Master degrees in both computer science and linguistics. He is currently an Assistant Professor at Tilburg University, the Netherlands. His research concentrates on empirical grammatical inference and its applications. He worked and is still working on several projects dealing with structurein different modalities, multi-modal information retrieval, question answering, and symbolic machine learning for language and music. He has taught courses on a range of topics, including digital heritage, natural language processing, language and speech technology, social intelligence, and information search. He has published on several systems that deal with both clean and noisy linguistic data, such as language independent syntactic structure induction, boundaries in compounds (of different languages), spelling checkers, part-of-speech tagging of Twitter messages, and the identification of patterns in music and text. He is a founding member of the International Community in Grammatical Inference and was chairman between 2007 and 2010. He is International Advisory Committee member of the ACL Special Interest Group on Finite-State Methods (ACL-SIGFSM), editorial board member of the CLIN journal, and Associate Editor of the Computational Cognitive Science journal.
Bibliographic Information
Book Title: Grammatical Inference for Computational Linguistics
Authors: Jeffrey Heinz, Colin Higuera, Menno Zaanen
Series Title: Synthesis Lectures on Human Language Technologies
DOI: https://doi.org/10.1007/978-3-031-02159-6
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 6
Copyright Information: Springer Nature Switzerland AG 2016
Softcover ISBN: 978-3-031-01031-6Published: 23 October 2015
eBook ISBN: 978-3-031-02159-6Published: 01 June 2022
Series ISSN: 1947-4040
Series E-ISSN: 1947-4059
Edition Number: 1
Number of Pages: XXI, 139
Topics: Artificial Intelligence, Natural Language Processing (NLP), Computational Linguistics