Amazon Technologies, Inc.

Constantin Daniel Marcu

Li Zhou

Vikram Sathyanarayana Anbazhagan

Kevin Michael Small

Kemal Oral Cansizlar

Aritra Biswas

Srinivasa Sandeep Atluri

Ganapathy S Srivathsan

Bhanu Pratap Jain

Vijit Singh

Generative machine learning models may be used to generate a transcreated version of input data. A transcreation request to generate a translated version of the input data may be received. One or more instructions for the input data may be determined based at least in part on an aggregated transcreation style identified for the request. A generative machine learning model may be used to generate the translated version of text in a source natural language that is associated with the input data according to the one or more instructions. The created version of the input data may be provided.

Dynamic generation of instructions for machine learning transcreation tasks

Techniques for conversational-based searching are described. A system may receive a first spoken user input, and may determine that the first spoken user input corresponds to a request for information associated with an entity. The system may retrieve item results corresponding to the entity. The system may determine a suggested user input based on the retrieved item results, and may determine output data corresponding to the suggested user input. The system may send output data to a user device, where the output data includes the item results and the suggested user input. The system may receive a second spoken user input, and may determine that the second spoken user input corresponds to the suggested user input. In response, the system may send the previously determined output data to the device.

Voice based searching and dialog management system

Growing community of inventors

Rolling Hills, CA, United States of America

Constantin Daniel Marcu