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Dynamically adding personalization features to language models for voice search
Dynamically adding personalization features to language models for voice search
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机译:在语言模型中动态添加个性化功能以进行语音搜索
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摘要
A dynamic exponential, feature-based, language model is continually adjusted per utterance by a user, based on the user's usage history. This adjustment of the model is done incrementally per user, over a large number of users, each with a unique history. The user history can include previously recognized utterances, text queries, and other user inputs. The history data for a user is processed to derive features. These features are then added into the language model dynamically for that user.
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