公开(公告)号：US20190213251A1

公开(公告)日：2019-07-11

申请号：US16356937

申请日：2019-03-18

Applicant: Microsoft Technology Licensing, LLC

Inventor： Dong Li ,  Xi Chen ,  Yoshiharu Sato ,  Keita Ooi

IPC: G06F17/27

CPC classification number: G06F17/2735

Abstract: An input method editor (IME) is associated with a local user. Memory stores local data and a processor, coupled to the memory, is configured to receive input from a local, first user, obtain shared data associated with at least a remote, second user from a remote server and generate prediction candidates and conversion candidates based on the input provided by the local, first user and correlation of the input and the obtained shared data.

公开(公告)号：US20170329765A1

公开(公告)日：2017-11-16

申请号：US15664631

申请日：2017-07-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Dong Li ,  Xi Chen ,  Yoshiharu Sato ,  Keita Ooi

IPC: G06F17/27

CPC classification number: G06F17/2735

Abstract: An input method editor (IME) is associated with a local user. Memory stores local data and a processor, coupled to the memory, is configured to receive input from a local, first user, obtain shared data associated with at least a remote, second user from a remote server and generate prediction candidates and conversion candidates based on the input provided by the local, first user and correlation of the input and the obtained shared data.

公开(公告)号：US20160299984A1

公开(公告)日：2016-10-13

申请号：US15189777

申请日：2016-06-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Matthew Robert Scott ,  Huihua Hou ,  Weipeng Liu ,  Hao Wei ,  Chiwei Che ,  Byron Huntley Changuion ,  Weijiang Xu ,  Xi Chen

IPC: G06F17/30 ,  G06F17/24 ,  G06F17/27

CPC classification number: G06F17/30867 ,  G06F17/24 ,  G06F17/276 ,  G06F17/3087

Abstract: An input method editor (IME) described herein couples scenarios of the input of the user with specific network services to offer more relevant and richer candidates for higher input productivity. Data relating to a computer application in which the input candidates are to be input and/or context relating to a user-submitted query is collected and analyzed to determine a scenario. The input candidates may include text candidates and rich candidates. The IME may select a scenario-tuned and type specific engine to identify the text candidates and/or rich candidates. The scenario-tuned text candidate engines leverage scenario-tuned language models and lexicons, and the scenario-tuned rich candidate engines leverage scenario-relevant web services, such as image, mapping, and video search, when available and appropriate.