Using phonetic variants in a local context to improve natural language understanding

    公开(公告)号:US11295730B1

    公开(公告)日:2022-04-05

    申请号:US16529689

    申请日:2019-08-01

    Abstract: A method is described that includes processing text and speech from an input utterance using local overrides of default dictionary pronunciations. Applying this method, a word-level grammar used to process the tokens specifies at least one local word phonetic variant that applies within a specific production rule and, within a local context of the specific production rule, the local word phonetic variant overrides one or more default dictionary phonetic versions of the word. This method can be applied to parsing utterances where the pronunciation of some words depends on their syntactic or semantic context.

    System and methods for a virtual assistant to manage and use context in a natural language dialog

    公开(公告)号:US10418032B1

    公开(公告)日:2019-09-17

    申请号:US15163485

    申请日:2016-05-24

    Abstract: A dialog with a conversational virtual assistant includes a sequence of user queries and systems responses. Queries are received and interpreted by a natural language understanding system. Dialog context information gathered from user queries and system responses is stored in a layered context data structure. Incomplete queries, which do not have sufficient information to result in an actionable interpretation, become actionable with use of context data. The system recognizes the need to access context data, and retrieves from context layers information required to transform the query into an executable one. The system may then act on the query and provide an appropriate response to the user. Context data buffers forget information, perhaps selectively, with the passage of time, and after a sufficient number and type of intervening queries.

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