Training tree transducers for probabilistic operations
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United States of America Patent
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Apr 13, 2010
Grant Date -
Oct 20, 2005
app pub date -
Mar 15, 2005
filing date -
Mar 15, 2004
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Abstract
Tree transducers can be trained for use in probabilistic operations such as those involved in statistical based language processing. Given sample input/output pairs as training, and given a set of tree transducer rules, the information is combined to yield locally optimal weights for those rules. This combination is carried out by building a weighted derivation forest for each input/output pair and applying counting methods to those forests.
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