Speech-to-text transcription with multiple languages

    公开(公告)号:US11049501B2

    公开(公告)日:2021-06-29

    申请号:US16141792

    申请日:2018-09-25

    摘要: One embodiment provides a method that includes obtaining a default language corpus. A second language corpus is obtained based on a second language preference. A first transcription of an utterance is received using the default language corpus and natural language processing (NLP). At least one problem word in the first transcription is determined based on an associated grammatical relevance to neighboring words in the first transcription. Upon determining that a first probability score is below a first threshold, an acoustic lookup is performed for an audible match for the problem word in the first transcription based on an associated acoustical relevance. Upon determining that a second probability score is below a second threshold, it is determined whether a match for the problem word exists in the secondary language corpus. Upon determining that the match exists in the secondary language corpus, a second transcription for the utterance is provided.

    Method and system for displaying automated agent comprehension

    公开(公告)号:US10936823B2

    公开(公告)日:2021-03-02

    申请号:US16175647

    申请日:2018-10-30

    摘要: One embodiment provides a method comprising generating a conversational interface for display on an electronic device. The conversational interface facilitates a communication session between a user and an automated conversational agent. The method further comprises performing a real-time analysis of a portion of a user input in response to the user constructing the user input during the communication session, and updating the conversational interface to include real-time feedback indicative of whether the automated conversational agent understands the portion of the user input based on the analysis. The real-time feedback allows the user to adjust the user input before completing the user input.

    Graph based prediction for next action in conversation flow

    公开(公告)号:US10891950B2

    公开(公告)日:2021-01-12

    申请号:US16144977

    申请日:2018-09-27

    摘要: One embodiment provides a method for predicting a next action in a conversation system that includes obtaining, by a processor, information from conversation logs and a conversation design. The processor further creates a dialog graph based on the conversation design. Weights and attributes for edges in the dialog graph are determined based on the information from the conversation logs. An unrecognized user input the conversation system is detected. The unrecognized user input is analyzed and a next action is predicted based on dialog nodes in the dialog graph and historical paths. A guiding conversation response is generated based on the predicted next action.

    Measuring mutual understanding in human-computer conversation

    公开(公告)号:US10303772B2

    公开(公告)日:2019-05-28

    申请号:US15223508

    申请日:2016-07-29

    IPC分类号: G06F17/27

    摘要: Technical solutions are described method for analyzing a natural language conversation-generating machine. An example computer implemented method includes determining, from a plurality of adjacency pairs in a conversation, a number of base pairs. The computer implemented method also includes determining, from the plurality of adjacency pairs, a number of expansion pairs. The computer implemented method also includes computing a efficiency score for the conversation by computing a ratio of the number of base pairs and the number of expansion pairs.