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公开(公告)号:US20210073339A1
公开(公告)日:2021-03-11
申请号:US16564370
申请日:2019-09-09
发明人: Sekou Lionel Remy , Charles Muchiri Wachira , Fiona Mugure Matu , Samuel Osebe , Victor Abayomi Akinwande , William Ogallo
IPC分类号: G06F17/28
摘要: A translation-engine suggestion method, system, and computer program product include identifying probes for third-party translation-engines for an input text, segmenting sections of the input text into a plurality of segments according to the identified probes, fragmenting the input text into fragments according to the segments, applying each fragment to the identified probe using the corresponding third-party translation-engine, and outputting a translation by combining each fragment.
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公开(公告)号:US20210050076A1
公开(公告)日:2021-02-18
申请号:US16543542
申请日:2019-08-17
摘要: Identify an emergency patient's potential emergency contacts and their social relationships by processing the patient's Internet footprint with a first natural language processing algorithm. Identify the emergency patient's possible health context by processing at least one of the emergency patient's Internet footprint and diagnostic data with a second natural language processing algorithm. Link at least one item of the emergency patient's possible health context to at least one linked emergency contact, who is selected from the potential emergency contacts using a sorting module that is trained to associate types of medical conditions with attributes of emergency contacts. Verify the at least one item of the emergency patient's possible health context by contacting the at least one linked emergency contact. Aggregate a verified health profile for the emergency patient based on at least one response provided by the at least one linked emergency contact.
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公开(公告)号:US11328132B2
公开(公告)日:2022-05-10
申请号:US16564370
申请日:2019-09-09
发明人: Sekou Lionel Remy , Charles Muchiri Wachira , Fiona Mugure Matu , Samuel Osebe , Victor Abayomi Akinwande , William Ogallo
摘要: A translation-engine suggestion method, system, and computer program product include identifying probes for third-party translation-engines for an input text, segmenting sections of the input text into a plurality of segments according to the identified probes, fragmenting the input text into fragments according to the segments, applying each fragment to the identified probe using the corresponding third-party translation-engine, and outputting a translation by combining each fragment.
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