发明公开
EP3143522A1 KNOWLEDGE SOURCE PERSONALIZATION TO IMPROVE LANGUAGE MODELS
审中-公开
WISSENSQUELLENPERSONALISIERUNG ZUR VERBESSERUNG VON SPRACHMODELLEN
- 专利标题: KNOWLEDGE SOURCE PERSONALIZATION TO IMPROVE LANGUAGE MODELS
- 专利标题(中): WISSENSQUELLENPERSONALISIERUNG ZUR VERBESSERUNG VON SPRACHMODELLEN
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申请号: EP15728256.7申请日: 2015-05-15
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公开(公告)号: EP3143522A1公开(公告)日: 2017-03-22
- 发明人: AKBACAK, Murat , HAKKANI-TUR, Dilek Z. , TUR, Gokhan , HECK, Larry P. , DUMOULIN, Benoit
- 申请人: Microsoft Technology Licensing, LLC
- 申请人地址: One Microsoft Way Redmond, WA 98052 US
- 专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人地址: One Microsoft Way Redmond, WA 98052 US
- 代理机构: Goddar, Heinz J.
- 优先权: US201414280070 20140516
- 国际公布: WO2015175936 20151119
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G10L15/06
摘要:
Systems and methods are provided for improving language models for speech recognition by personalizing knowledge sources utilized by the language models to specific users or user-population characteristics. A knowledge source, such as a knowledge graph, is personalized for a particular user by mapping entities or user actions from usage history for the user, such as query logs, to the knowledge source. The personalized knowledge source may be used to build a personal language model by training a language model with queries corresponding to entities or entity pairs that appear in usage history. In some embodiments, a personalized knowledge source for a specific user can be extended based on personalized knowledge sources of similar users.
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