Amazon Technologies, Inc.

Mohamed Thahir Peer Mohamed

Wei Xiao

Mohammed Nazeeruddin

Mohamed Farouk AbdelHady

Bin Zhu

Zheng Gao

Faizi Siddiqui

Qian Hu

Xibin Gao

Radhika Arava

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

Influential token combinations corresponding to various classes associated with a machine learning model trained to classify text collections expressed in a first language are identified. A similarity metric between one or more influential token combinations and a classification candidate text collection (expressed in a second language) is determined. A substitute text collection corresponding to the classification candidate is generated based at least partly on the similarity metric. The substitute text collection is used as input to one or more machine learning models to identify a predicted class of the classification candidate.

Artificial intelligence system for automated adaptation of text-based classification models for multiple languages

Growing community of inventors

Bellevue, WA, United States of America

Mohamed Thahir Peer Mohamed