发明名称 METHOD AND SYSTEM FOR CONFIDENCE-WEIGHTED LEARNING OF FACTORED DISCRIMINATIVE LANGUAGE MODELS
摘要 A system and method for building a language model for a translation system are provided. The method includes providing a first relative ranking of first and second translations in a target language of a same source string in a source language, determining a second relative ranking of the first and second translations using weights of a language model, the language model including a weight for each of a set of n-gram features, and comparing the first and second relative rankings to determine whether they are in agreement. The method further includes, when the rankings are not in agreement, updating one or more of the weights in the language model as a function of a measure of confidence in the weight, the confidence being a function of previous observations of the n-gram feature in the method.
申请公布号 US2012278060(A1) 申请公布日期 2012.11.01
申请号 US201113094999 申请日期 2011.04.27
申请人 CANCEDDA NICOLA;THUC VIET HA;XEROX CORPORATION 发明人 CANCEDDA NICOLA;THUC VIET HA
分类号 G06F17/28 主分类号 G06F17/28
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