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公开(公告)号：US20140297252A1
公开(公告)日：2014-10-02
申请号：US14099079
申请日：2013-12-06
Applicant: Raytheon BBN Technologies Corp.
Inventor： Rohit Prasad , Rohit Kumar , Sankaranarayanan Ananthakrishnan , Sanjika Hewavitharana , Matthew Roy , Frederick Choi
IPC: G06F17/28
CPC classification number: G06F17/289 , G10L15/01 , G10L2015/225
Abstract: A two-way speech-to-speech (S2S) translation system actively detects a wide variety of common error types and resolves them through user-friendly dialog with the user(s). Examples include features including one or more of detecting out-of-vocabulary (OOV) named entities and terms, sensing ambiguities, homophones, idioms, ill-formed input, etc. and interactive strategies for recovering from such errors. In some examples, different error types are prioritized and systems implementing the approach can include an extensible architecture for implementing these decisions.
Abstract translation: 双向语音（S2S）翻译系统主动检测各种常见错误类型，并通过用户友好的对话来解决它们。 示例包括特征，包括一个或多个检测词汇（OOV）命名的实体和术语，感测歧义，同音词，成语，不正确的输入等，以及用于从这样的错误中恢复的交互策略。 在一些示例中，优先级不同的错误类型，并且实现该方法的系统可以包括用于实现这些决定的可扩展架构。
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公开(公告)号：US09710463B2
公开(公告)日：2017-07-18
申请号：US14099079
申请日：2013-12-06
Applicant: Raytheon BBN Technologies Corp.
Inventor： Rohit Prasad , Rohit Kumar , Sankaranarayanan Ananthakrishnan , Sanjika Hewavitharana , Matthew Roy , Frederick Choi
CPC classification number: G06F17/289 , G10L15/01 , G10L2015/225
Abstract: A two-way speech-to-speech (S2S) translation system actively detects a wide variety of common error types and resolves them through user-friendly dialog with the user(s). Examples include features including one or more of detecting out-of-vocabulary (OOV) named entities and terms, sensing ambiguities, homophones, idioms, ill-formed input, etc. and interactive strategies for recovering from such errors. In some examples, different error types are prioritized and systems implementing the approach can include an extensible architecture for implementing these decisions.
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