Grammar rule generation for virtual assistant applications is difficult to scale due to the need for manual labeling. This disclosure describes a scalable solution to automatically generate enhanced grammar rules in predefined verticals. The techniques enable incremental improvements to interpretations of voice commands by a virtual assistant application. Queries that have not already been processed for a target vertical are identified and extracted from a corpus of user queries, e.g., a time-limited corpus in a particular language. Queries are analyzed to discover arguments and patterns that are specific to the vertical. Grammar rules are generated based on the arguments and patterns.
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Feng, Tao and Chai, Hongjie, "Automatic grammar enhancement for virtual assistant", Technical Disclosure Commons, (October 08, 2019)