SYMBOL PREDICTION WITH GAPPED SEQUENCE MODELS
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United States of America Patent
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Jan 11, 2018
app pub date -
Jul 7, 2016
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Jul 7, 2016
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Abstract
A symbol prediction method includes storing a statistic for each of a set of symbols w in at least one context, each context including a string of k preceding symbols and a string of l subsequent symbols, the statistic being based on observations of a string kwl in training data. For an input sequence of symbols, a prediction is computed for at least one symbol in the input sequence, based on the stored statistics. The computing includes, where the symbol is in a context in the sequence not having a stored statistic, computing the prediction for the symbol in that context based on a stored statistic for the symbol in a more general context.
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