- 专利标题: Method and apparatus for distribution-based language model adaptation
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申请号: US11225543申请日: 2005-09-13
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公开(公告)号: US20060009965A1公开(公告)日: 2006-01-12
- 发明人: Jianfeng Gao , Mingjing Li
- 申请人: Jianfeng Gao , Mingjing Li
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 主分类号: G06F17/27
- IPC分类号: G06F17/27
摘要:
A method and apparatus are provided for adapting a language model to a task-specific domain. Under the method and apparatus, the relative frequency of n-grams in a small training set (i.e. task-specific training data set) and the relative frequency of n-grams in a large training set (i.e. out-of-domain training data set) are used to weight a distribution count of n-grams in the large training set. The weighted distributions are then used to form a modified language model by identifying probabilities for n-grams from the weighted distributions.
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