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• W2149484506 abstract "Presents 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 its 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." @default.
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• W2149484506 date "1996-10-03" @default.
• W2149484506 modified "2023-09-25" @default.
• W2149484506 title "Predicting dialogue acts for a speech-to-speech translation system" @default.
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• W2149484506 doi "https://doi.org/10.22028/d291-25293" @default.
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