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- W2044902476 abstract "This paper presents a new algorithm for identifying the language of words in a multilingual automatic speech recognition system. The new algorithm uses as input written words and it is composed of a method for language modelling and a method to select the language of a given word based on the available models. We also present two selection rules for the model's parameters. One of the rules uses a free parameter that controls the accuracy of the resulted model, as well as its size. On average, the classification accuracy of the new algorithm is above 70% for the first best and above 80% for the first two best." @default.
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- W2044902476 date "2009-04-01" @default.
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- W2044902476 title "Language identification of individualwords in a multilingual automatic speech recognition system" @default.
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- W2044902476 doi "https://doi.org/10.1109/icassp.2009.4960594" @default.
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