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Human Language Technology. Challenges for Computer Science and Linguistics

4th Language and Technology Conference, LTC 2009, Roznan, Poland, November 6-8, 2009, Revised Selected Papers

  • Conference proceedings
  • © 2011

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Editors:
  1. Zygmunt Vetulani

    1. Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan, Poznan, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6562)

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

Included in the following conference series:

Conference proceedings info: LTC 2009.

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About this book

This book constitutes the refereed proceedings of the 4th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2009, held in Poznan, Poland, in November 2009. The 52 revised and in many cases substantially extended papers presented in this volume were carefully reviewed and selected from 103 submissions. The contributions are organized in topical sections on speech processing, computational morphology/lexicography, parsing, computational semantics, dialogue modeling and processing, digital language resources, WordNet, document processing, information processing, and machine translation.

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Table of contents (52 papers)

  1. Front Matter

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  2. Speech Processing

    1. Data-Driven Approaches to Objective Evaluation of Phoneme Alignment Systems

      • Ladan Baghai-Ravary, Greg Kochanski, John Coleman
      Pages 1-11

    2. Phonetically Transcribed Speech Corpus Designed for Context Based European Portuguese TTS

      • Maria Barros, Bernd Möbius
      Pages 12-23

    3. Robust Speech Recognition in the Car Environment

      • Agnieszka Betkowska Cavalcante, Koichi Shinoda, Sadaoki Furui
      Pages 24-34

    4. Corpus Design for a Unit Selection TtS System with Application to Bulgarian

      • Aimilios Chalamandaris, Pirros Tsiakoulis, Spyros Raptis, Sotiris Karabetsos
      Pages 35-46

    5. Automatic Identification of Phonetic Similarity Based on Underspecification

      • Mark Kane, Julie Mauclair, Julie Carson-Berndsen
      Pages 47-58

    6. Error Detection in Broadcast News ASR Using Markov Chains

      • Thomas Pellegrini, Isabel Trancoso
      Pages 59-69

    7. Pronunciation and Writing Variants in an Under-Resourced Language: The Case of Luxembourgish Mobile N-Deletion

      • Natalie D. Snoeren, Martine Adda-Decker, Gilles Adda
      Pages 70-81

    8. Morpheme-Based and Factored Language Modeling for Amharic Speech Recognition

      • Martha Yifiru Tachbelie, Solomon Teferra Abate, Wolfgang Menzel
      Pages 82-93

    9. The Corpus Analysis Toolkit - Analysing Multilevel Annotations

      • Stephen Wilson, Julie Carson-Berndsen
      Pages 94-104

  3. Computational Morphology/Lexicography

    1. Time Durations of Phonemes in Polish Language for Speech and Speaker Recognition

      • Bartosz Ziółko, Mariusz Ziółko
      Pages 105-114

    2. Polysemous Verb Classification Using Subcategorization Acquisition and Graph-Based Clustering

      • Fumiyo Fukumoto, Yoshimi Suzuki, Kazuyuki Yamashita
      Pages 115-126

    3. Estimating the Proximity between Languages by Their Commonality in Vocabulary Structures

      • Yves Lepage, Julien Gosme, Adrien Lardilleux
      Pages 127-138

    4. Toposław – A Lexicographic Framework for Multi-word Units

      • Małgorzata Marciniak, Agata Savary, Piotr Sikora, Marcin Woliński
      Pages 139-150

  4. Parsing

    1. Parsing CFGs and PCFGs with a Chomsky-Schützenberger Representation

      • Mans Hulden
      Pages 151-160

    2. Syntactic Analysis Using Finite Patterns: A New Parsing System for Czech

      • Vojtěch Kovář, Aleš Horák, Miloš Jakubíček
      Pages 161-171

    3. Using SRX Standard for Sentence Segmentation

      • Marcin Miłkowski, Jarosław Lipski
      Pages 172-182

    4. Using Lexicon-Grammar Tables for French Verbs in a Large-Coverage Parser

      • Elsa Tolone, Benoît Sagot
      Pages 183-191

  5. Computational Semantics

    1. Effect of Overt Pronoun Resolution in Topic Tracking

      • Fumiyo Fukumoto, Yoshimi Suzuki
      Pages 192-202

    2. Sentiment Intensity: Is It a Good Summary Indicator?

      • Mijail Kabadjov, Alexandra Balahur, Ester Boldrini
      Pages 203-212
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Other volumes

  1. Human Language Technology. Challenges for Computer Science and Linguistics

Editors and Affiliations

  • Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan, Poznan, Poland

    Zygmunt Vetulani

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