Amazon.com, Inc.
Language agnostic phonetic entity resolution

Abstract:

Techniques for performing entity resolution as part of natural language understanding processing are described. During offline operations, a system may convert text (representing entities known to the system) into audio of various languages. The languages into which the text is converted may depend on the location where the entity is likely to be spoken by users of the system. At runtime, the system processes a user input using text-based entity resolution. If text-based entity resolution fails, the system may identify user speech corresponding to an entity to be resolved, and attempt to phonetically match the user speech to the audio of the known entities. Results of the phonetic entity resolution may then used by downstream components, such as skills.