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Statistical Language and Speech Processing

5th International Conference, SLSP 2017, Le Mans, France, October 23–25, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10583)

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

Included in the following conference series:

Conference proceedings info: SLSP 2017.

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Table of contents (22 papers)

  1. Invited Paper

  2. Language and Information Extraction

  3. Post-processing and Applications of Automatic Transcriptions

  4. Speech: Paralinguistics and Synthesis

Other volumes

  1. Statistical Language and Speech Processing

Keywords

About this book

This book constitutes the refereed proceedings of the 5th International

Conference on Statistical Language and Speech Processing, SLSP 2017,

held in Le Mans, France, in October 2017.

The 21 full papers presented were carefully reviewed and selected from

 39 submissions. The papers cover topics such as anaphora and conference

 resolution; authorship identification, plagiarism and spam filtering;

 computer-aided translation; corpora and language resources; data

mining and semanticweb; information extraction; information retrieval;

 knowledge representation and ontologies; lexicons and dictionaries; machine

translation; multimodal technologies; natural language understanding;

neural representation of speech and language; opinion mining and

sentiment analysis; parsing; part-of-speech tagging; question and

answering systems; semantic role labeling; speaker identification and

verification; speech and language generation; speech recognition; speech

synthesis; speech transcription; speech correction; spoken dialogue

systems; term extraction; text categorization; test summarization; user

modeling.  They are organized in the following sections: language and

information extraction; post-processing and applications of automatic

transcriptions; speech paralinguistics and synthesis; speech recognition:

modeling and resources.

Editors and Affiliations

  • University of Le Mans, Le Mans, France

    Nathalie Camelin, Yannick Estève

  • Rovira i Virgili University, Tarragona, Spain

    Carlos Martín-Vide

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