Abstract: A new approach to automatic speech recognition is disclosed. An example method include receiving a first text representing speech recognition of a phrase spoken by a user, isolating a candidate named entity from within the phrase, receiving a first phonetic representation of the candidate named entity, comparing the first phonetic representation to phonetic representations in a mapping database which map the phonetic representations to words to yield a comparison, based on the comparison, identifying a second phonetic representation in the mapping database that matches a second text in the mapping database to the second phonetic representation and replacing the candidate named entity with the second text. The approach can be used for new brands for which automatic speech recognition error rates are high.

Abstract: Contextual data corresponding to previous search requests of a service provider's electronic catalog can be used to resolve voice-input search requests and present search results. Contextual data includes the previous search request that is input to a machine learning algorithm along with a present search request. The machine learning algorithm generates a score indicative of whether the present search request is a refinement of the previous search or a new search request. Once the search request is classified as a refinement or a new search, the search is processed to provide search results including available items from the service provider matching the search request.

Abstract: A computer system processes an authoritative piece of source code to identify one or more formats with which the piece of source code is compliant. A second non-authoritative piece of source code is processed, and the system determines whether in the second non-authoritative piece of source code complies with the one or more formats. In an embodiment, the computer system provides suggestions to make the second non-authoritative piece of source code compliant with the authoritative piece of source code. In an embodiment, the authoritative piece of source code is in a shared source code repository, and the computer system designates the authoritative piece of source code as authoritative based at least in part on the relative age, stability, or authorship of the authoritative source code and other source code in the repository.