Amazon Technologies, Inc.

Mohamed Farouk AbdelHady

Ruhi Sarikaya

Young-Bum Kim

David Robert Thomas

Shubham Katiyar

Joe Pemberton

Rajesh Kumar Pandey

Isaac Joseph Madwed

Julia Kennedy Nemer

Arun Kumar Thenappan

Jihwan Lee

Prasha Shrestha

Hao Yuan

Wei Xiao

Mohamed Thahir Peer Mohamed

Xibin Gao

Radhika Arava

Zheng Gao

Qian Hu

Arima Vu Ram Thayumanavar

Wangyao Ge

Techniques for selecting a skill to execute in response to a natural language input are described. A system may receive a natural language input, determine profile data associated with the natural language input, and determine the profile data indicates a locale and at least first language and second languages. The system determines first and second sets of skills corresponding to the locale/first language and locale/second language, respectively. The system determines a first group of skill candidates corresponding to a portion of the first set of skills, and determines a second group of skill candidates corresponding to a portion of the second set of skills. The system performs ranking processing across the first and second groups of skills to determine a best skill for responding to the natural language input. Thus, in some situations, the skill invoked may not correspond to the same language represented in the natural language input.

Skill selection for responding to natural language inputs

Devices and techniques are generally described for a speech processing routing architecture. In various examples, first data comprising a first feature definition is received. The first feature definition may include a first indication of first source data and first instructions for generating feature data using the first source data. In various examples, the feature data may be generated according to the first feature definition. In some examples, a speech processing system may receive a first request to process a first utterance. The feature data may be retrieved from a non-transitory computer-readable memory. The speech processing system may determine a first skill for processing the first utterance based at least in part on the feature data.

Natural language processing routing

Devices and techniques are generally described for using user feedback to determine routing decisions in a speech processing system. In various examples, first data representing a first utterance may be received. Second data representing a first semantic interpretation of the first utterance may be determined. A first intent data processing application may be selected for processing the second data. Feedback data may be determined related to the first intent data processing application processing the second data. Third data representing a semantic interpretation of a second utterance may be received, wherein the first semantic interpretation is the same as the second semantic interpretation. A second intent data processing application may be determined for processing the third data based at least in part on the feedback data.

Natural language processing

Routing of natural language inputs to speech processing applications

Growing community of inventors

Redmond, WA, United States of America

Mohamed Farouk AbdelHady