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  • 1
    Book
    Book
    Berlin : Springer
    UID:
    gbv_304354759
    Format: XII, 200 S , graph. Darst
    ISBN: 3540667539
    Series Statement: Lecture notes in computer science 1735
    Uniform Title: Maschinelles Dolmetschen mit Mehr-Ebenen-Charts 〈engl.〉
    Note: Literaturverz. S. 175 - 192 , Dt. Fassung zuerst: Hamburg, Univ., Diss., 1998 u.d.T.: Amtrup, Jan Willers: Maschinelles Dolmetschen mit Mehr-Ebenen-Charts
    Additional Edition: Erscheint auch als Online-Ausgabe Amtrup, Jan, 1964 - Incremental Speech Translation Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 1999 ISBN 9783540467618
    Additional Edition: ISBN 3540667539
    Language: English
    Subjects: Comparative Studies. Non-European Languages/Literatures
    RVK:
    Keywords: Gesprochene Sprache ; Automatische Spracherkennung ; Sprachverstehen ; Natürlichsprachiges System ; Übersetzung ; Hochschulschrift
    URL: Cover
    Author information: Amtrup, Jan 1964-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Berlin u.a. : Springer
    UID:
    b3kat_BV012838952
    Format: XII, 200 S. , graph. Darst.
    ISBN: 3540667539
    Series Statement: Lecture notes in computer science 1735 : Lecture notes in artificial intelligence
    Language: German
    Keywords: Gesprochene Sprache ; Automatische Spracherkennung ; Sprachverstehen ; Natürlichsprachiges System
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg,
    Show associated volumes
    UID:
    almahu_9947920476702882
    Format: XVI, 212 p. , online resource.
    ISBN: 9783540467618
    Series Statement: Lecture Notes in Computer Science, 1735
    Content: 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.
    Note: Graph Theory and Natural Language Processing -- Unification-Based Formalisms for Translation in Natural Language Processing -- MILC: Structure and Implementation -- Experiments and Results -- Conclusion and Outlook.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540667537
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    UID:
    almahu_9948621525502882
    Format: XVI, 212 p. , online resource.
    Edition: 1st ed. 1999.
    ISBN: 9783540467618
    Series Statement: Lecture Notes in Artificial Intelligence ; 1735
    Content: 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.
    Note: Graph Theory and Natural Language Processing -- Unification-Based Formalisms for Translation in Natural Language Processing -- MILC: Structure and Implementation -- Experiments and Results -- Conclusion and Outlook.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662182390
    Additional Edition: Printed edition: ISBN 9783540667537
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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