| 摘要 |
Word sequences that contain a selected feature are identified using an index that comprises a separate entry for each of a collection of features in the language model, each entry identifying word sequences that contain the feature. The identified word sequences are used to compute a best value for a feature weight of the selected feature. A selection is made between the best value and a step-change value for the feature weight to produce a new value for the feature weight. The new value for the feature weight is then stored in a current set of feature weights for the language model.
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