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Statistical Language and Speech Processing: 6th International Conference, SLSP 2018, Mons, Belgium, October 1516, 2018, Proceedings 2018 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 191 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 37 Illustrations, black and white; X, 191 p. 37 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11171
  • Ilmumisaeg: 19-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030008096
  • ISBN-13: 9783030008093
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  • Formaat: Paperback / softback, 191 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 37 Illustrations, black and white; X, 191 p. 37 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11171
  • Ilmumisaeg: 19-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030008096
  • ISBN-13: 9783030008093
This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018.





The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis. 
Invited Paper.- Analysing Speech for Clinical Applications.- Speech
Synthesis and Spoken Language Generation.- DNN-based Speech Synthesis for
Arabic: Modelling and Evaluation.- Phone-Level Embeddings for Unit Selection
Speech Synthesis.- Disuency Insertion for Spontaneous TTS: Formalization and
Proof of Concept.- Speech Recognition and Post-Processing.- Forced Alignment
of the Phonologie du Français Contemporain Corpus.- A Syllable Structure
Approach to Spoken Language Recognition.- Investigating a Hybrid Learning
Approach for Robust Automatic Speech Recognition.- A Comparison of Adaptation
Techniques and Recurrent Neural Network Architectures.- Restoring Punctuation
and Capitalization Using Transformer Models.- Natural Language Processing and
Understanding.- Arabic Name Entity Recognition Using Deep Learning.- Movie
Genre Detection using Topological Data Analysis.- Low-Resource Text
Classification using Domain-Adversarial Learning.- Handling Ellipsis in a
Spoken Medical Phraselator.- Text Processing and Analysis.- Knowledge
Transfer for Active Learning in Textual Anonymisation.