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1. (WO2017155792) SCALABLE DEVICE- AND DOMAIN DEPENDENT NATURAL LANGUAGE UNDERSTANDING

Pub. No.:    WO/2017/155792    International Application No.:    PCT/US2017/020552
Publication Date: Fri Sep 15 01:59:59 CEST 2017 International Filing Date: Sat Mar 04 00:59:59 CET 2017
IPC: G06F 17/27
G10L 15/26
G06F 17/30
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: JEONG, Minwoo
SARIKAYA, Ruhi
Title: SCALABLE DEVICE- AND DOMAIN DEPENDENT NATURAL LANGUAGE UNDERSTANDING
Abstract:
A computer-implemented technique is described for processing a linguistic item (e.g., a query) in an efficient and scalable manner. The technique interprets the linguistic item using a language understanding (LU) system in a manner that is based on a particular endpoint mechanism from which the linguistic item originated. The LU system may include an endpoint-independent subsystem, an endpoint-dependent subsystem, and a ranking component. The endpoint-independent subsystem interprets the linguistic item in a manner that is independent of the particular endpoint mechanism. The endpoint-dependent subsystem interprets the linguistic item in a manner that is dependent on the particular endpoint mechanism. The ranking component generates final interpretation results based on intermediate results generated by the endpoint-independent subsystem and the endpoint-dependent subsystem, e.g., by identifying the most likely interpretation of the linguistic item.