Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10596)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: EUROPHRAS 2017.
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Table of contents (31 papers)
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Front Matter
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Keynote and Invited Talks
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Front Matter
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Phraseology in Translation and Contrastive Studies
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Front Matter
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Exploitation of Corpora in Phraseological Studies
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Front Matter
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Other volumes
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Computational and Corpus-Based Phraseology
Keywords
About this book
This book constitutes the refereed proceedings of the International Conference on Computational and Corpus-Based Phraseology, Europhras 2017, held in London, UK, in November 2017.
The 31 full papers presented were carefully reviewed and selected from numerous submissions and are organized into the following thematic sessions: Phraseology in translation and contrastive studies, Lexicography and terminography, Exploitation of corpora in phraseological studies, Development of corpora for phraseological studies, Phraseology and language learning, Cognitive and cultural aspects of phraseology, Theoretical and descriptive approaches to phraseology, and Computational approaches to phraseology.
The chapter 'Frequency Consolidation Among Word N-Grams' is available open access under a CC BY 4.0 license.
Editors and Affiliations
Bibliographic Information
Book Title: Computational and Corpus-Based Phraseology
Book Subtitle: Second International Conference, Europhras 2017, London, UK, November 13-14, 2017, Proceedings
Editors: Ruslan Mitkov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-69805-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-69804-5Published: 27 October 2017
eBook ISBN: 978-3-319-69805-2Published: 03 November 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 463
Topics: Artificial Intelligence, Natural Language Processing (NLP), Natural Language Processing (NLP)