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  • © 2020

Statistical Language and Speech Processing

8th International Conference, SLSP 2020, Cardiff, UK, October 14–16, 2020, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12379)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): SLSP: International Conference on Statistical Language and Speech Processing

Conference proceedings info: SLSP 2020.

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  • ISBN: 978-3-030-59430-5
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Table of contents (14 papers)

  1. Front Matter

    Pages i-x
  2. Invited Paper

    1. Front Matter

      Pages 1-1
    2. Grapheme-to-Phoneme Transduction for Cross-Language ASR

      • Mark Hasegawa-Johnson, Leanne Rolston, Camille Goudeseune, Gina-Anne Levow, Katrin Kirchhoff
      Pages 3-19
  3. Language Processing

    1. Front Matter

      Pages 21-21
    2. Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems

      • Stéphane d’Ascoli, Alice Coucke, Francesco Caltagirone, Alexandre Caulier, Marc Lelarge
      Pages 23-34
    3. FacTweet: Profiling Fake News Twitter Accounts

      • Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso
      Pages 35-45
    4. Named Entity Recognition for Icelandic: Annotated Corpus and Models

      • Svanhvít L. Ingólfsdóttir, Ásmundur A. Guðjónsson, Hrafn Loftsson
      Pages 46-57
    5. BERT-Based Sentiment Analysis Using Distillation

      • Jan Lehečka, Jan Švec, Pavel Ircing, Luboš Šmídl
      Pages 58-70
    6. A Cognitive Approach to Parsing with Neural Networks

      • Vigneshwaran Muralidaran, Irena Spasić, Dawn Knight
      Pages 71-84
    7. S-Capade: Spelling Correction Aimed at Particularly Deviant Errors

      • Emma O’Neill, Robert Young, Elsa Thiaville, Muireann MacCarthy, Julie Carson-Berndsen, Anthony Ventresque
      Pages 85-96
    8. Towards eXplainable AI in Text Features Engineering for Concept Recognition

      • Andreas Waldis, Luca Mazzola, Alexander Denzler
      Pages 122-133
  4. Speech Processing

    1. Front Matter

      Pages 135-135
    2. A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification

      • Juan M. Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset
      Pages 137-148
    3. Deep Variational Metric Learning for Transfer of Expressivity in Multispeaker Text to Speech

      • Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet
      Pages 157-168
  5. Back Matter

    Pages 183-183

Other Volumes

  1. Statistical Language and Speech Processing

    8th International Conference, SLSP 2020, Cardiff, UK, October 14–16, 2020, Proceedings

About this book

This book constitutes the proceedings of the 8th International Conference on Statistical Language and Speech Processing, SLSP 2020, held in Cardiff, UK, in October 2020.
The 13 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 25 submissions. They papers cover the wide spectrum of statistical methods that are currently in use in computational language or speech processing.

Keywords

  • artificial intelligence
  • computational linguistics
  • computer science
  • computer systems
  • data mining
  • databases
  • education
  • engineering
  • learning
  • linguistics
  • machine learning
  • mathematics
  • Natural Language Processing (NLP)
  • natural languages
  • semantics
  • speech analysis
  • signal processing
  • speech processing
  • speech recognition

Editors and Affiliations

  • Cardiff University, Cardiff, UK

    Luis Espinosa-Anke

  • Rovira i Virgili University, Tarragona, Spain

    Carlos Martín-Vide

  • Computer Science, Cardiff University, Cardiff, UK

    Irena Spasić

Bibliographic Information

  • Book Title: Statistical Language and Speech Processing

  • Book Subtitle: 8th International Conference, SLSP 2020, Cardiff, UK, October 14–16, 2020, Proceedings

  • Editors: Luis Espinosa-Anke, Carlos Martín-Vide, Irena Spasić

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-59430-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-59429-9

  • eBook ISBN: 978-3-030-59430-5

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 183

  • Number of Illustrations: 32 b/w illustrations, 36 illustrations in colour

  • Topics: Artificial Intelligence

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-59430-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)