Please use this identifier to cite or link to this item:
doi:10.22028/D291-25293
Title: | Predicting dialogue acts for a speech-to-speech translation system |
Author(s): | Reithinger, Norbert Engel, Ralf Kipp, Michael Klesen, Martin |
Language: | English |
Year of Publication: | 1996 |
SWD key words: | Künstliche Intelligenz |
Free key words: | artificial intelligence |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | We present the application of statistical language modeling methods for the prediction of the next dialogue act. This prediction is used by different modules of the speech-to-speech translation system VERBMOBIL. The statistical approach uses deleted interpolation of n-gram frequencies as basis and determines the interpolation weights by a modified version of the standard optimization algorithm. Additionally, we present and evaluate different approaches to improve the prediction process, e.g. including knowledge from a dialogue grammar. Evaluation shows that including the speaker information and mirroring the data delivers the best results. |
Link to this record: | urn:nbn:de:bsz:291-scidok-53413 hdl:20.500.11880/25349 http://dx.doi.org/10.22028/D291-25293 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 151 |
Date of registration: | 12-Jun-2013 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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File | Description | Size | Format | |
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report_151_96.pdf | 185,89 kB | Adobe PDF | View/Open |
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