发明名称 |
Method and system for using rule-based knowledge to build a class-based domain specific statistical language model |
摘要 |
A method and system for providing a class-based statistical language model representation from rule-based knowledge is disclosed. The class-based language model is generated from a statistical representation of a class-based rule net. A class-based rule net is generated using the domain-related rules with words replaced with their corresponding class-tags that are manually defined. The class-based statistical representation from the class-based rule net is combined with a class-based statistical representation from a statistical language model to generate a language model. The language model is enhanced by smoothing/adapting with general-purpose and/or domain-related corpus for use as the final language model. A two-pass search algorithm is applied for speech decoding.
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申请公布号 |
US7275033(B1) |
申请公布日期 |
2007.09.25 |
申请号 |
US20000130860 |
申请日期 |
2000.09.30 |
申请人 |
INTEL CORPORATION |
发明人 |
ZHAO YIBAO;YAN YONGHONG;LIN ZHIWEI |
分类号 |
G10L15/18;G06F17/27;G10L15/183;G10L15/197 |
主分类号 |
G10L15/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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