USER INTERFACE FOR CORRECTING RECOGNITION ERRORS

    公开(公告)号:US20190318739A1

    公开(公告)日:2019-10-17

    申请号:US16412137

    申请日:2019-05-14

    Applicant: Apple Inc.

    Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.

    KNOWLEDGE-BASED FRAMEWORK FOR IMPROVING NATURAL LANGUAGE UNDERSTANDING

    公开(公告)号:US20190236130A1

    公开(公告)日:2019-08-01

    申请号:US16012531

    申请日:2018-06-19

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process receives natural language input and determines a first and a second parsing result for the natural language input. The first and the second parsing results include respective mappings of one or more properties of a domain corresponding to the natural language input to one or more words of the natural language input. The process determines whether the second parsing result corresponds to a data item in a knowledge base, and in accordance with determining that the second parsing result corresponds to the data item in the knowledge base, the process ranks the second parsing result higher than the first parsing result. Based on the ranking, the process generates a task flow using the second parsing result and executes the task flow to provide an output based on the data item.

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