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Incremental Speech Translation

  • Jan Willers Amtrup

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1735)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1735)

Table of contents

About this book

Introduction

Human language capabilities are based on mental proceduresthat are closely linked to the time domain. Listening, understanding,and reacting, on the one hand, as well as planning,formulating,and speaking,onthe other, are performedin a highlyover lapping manner, thus allowing inter human communication to proceed in a smooth and ?uent way. Although it happens to be the natural mode of human language interaction, in cremental processing is still far from becoming a common feature of today’s lan guage technology. Instead, it will certainly remain one of the big challenges for research activities in the years to come. Usually considered dif?cult to a degree that rendersit almost intractableforpracticalpurposes,incrementallanguageprocessing has recently been attracting a steadily growing interest in the spoken language pro cessing community. Its notorious dif?culty can be attributed mainly to two reasons: Due to the inaccessibility of the right context, global optimization criteria are no longer available. This loss must be compensated for by communicating larger search spaces between system components or by introducing appropriate repair mechanisms. In any case, the complexity of the task can easily grow by an order of magnitude or even more. Incrementality is an almost useless feature as long as it remains a local property of individual system components. The advantages of incremental processing can be effectiveonly if all the componentsof a producer consumerchain consistently adhere to the same pattern of temporal behavior.

Keywords

Computational Linguistics Natural Language Processing Systems Natural Language Translation Speech Translation Speech Understanding algorithms natural language natural language processing

Authors and affiliations

  • Jan Willers Amtrup
    • 1
  1. 1.Computing Research LaboratoryNew Mexico State UniversityLas CrucesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-46761-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66753-7
  • Online ISBN 978-3-540-46761-8
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site