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Showing 1 to 3 of 3 for “"minimum error rate training"”.

  1. Statistical methods in natural language understanding and spoken dialogue systems

    … of input-output sentences must be provided for training. Thus, there is no need to generate grammars manually, which significantly reduces the costs of building dialogue systems for new domains. Furthermore, we propose and investigate a framework based on minimum error rate training that results …

    aachen Repository record for Statistical methods in natural language understanding and spoken dialogue systems (opens in a new tab)

  2. Phrase based statistical machine translation : models, search, training

    … all possible target language sentences; the training problem, i.e. how to estimate the free parameters of the model from the training data. We present improved alignment and translation models. We present alignment models which improve the alignment quality significantly. We extend the …

    aachen Repository record for Phrase based statistical machine translation : models, search, training (opens in a new tab)

  3. Discriminative training and acoustic modeling for automatic speech recognition

    Discriminative training has become an important means for estimating model parameters in many statistical pattern recognition tasks. While standard learning methods based on the Maximum Likelihood criterion aim at optimizing model parameters only class individually, discriminative approaches …

    aachen Repository record for Discriminative training and acoustic modeling for automatic speech recognition (opens in a new tab)