Abstract: Systems and methods are provided for use of use of fuzzy-match-based translation suggestions to augment machine translation of input sentences or other texts. A machine translation system may use a model trained to translate a source language input to a target language output based on pseudo-randomly selected translation suggestions in the target language, while at inference time the machine translation system may use translation selections associated with source language samples that have a high degree of similarity to the source language input to be translated. To efficiently use the translation suggestions, they may be encoded in context with the source language input to be translated, and the machine translation system may use the encoded translation suggestions with to generate a translation in the target language.

Abstract: A machine-learning system is described for effectively and efficiently identifying computing tools that are relevant to processing a query for a sequence processing model. A system can store, for each computing tool, data associated with at least one synthetic query generated by a machine-learned sequence processing model based on tool documentation for the computing tools. The system can determine a subset of computing tools relevant to a particular user query based on the synthetic query for each of the plurality of computing tools. The system can generate at least one prompt including the user query and a processing result from each of the subset of computing tools in response to the user query. The system can generate a response to the particular user query based at least in part on an output of at least one machine-learned sequence processing model in response to the at least one prompt.

Abstract: Systems and methods are provided for use of use of fuzzy-match-based translation suggestions to augment machine translation of input sentences or other texts. A machine translation system may use a model trained to translate a source language input to a target language output based on pseudo-randomly selected translation suggestions in the target language, while at inference time the machine translation system may use translation selections associated with source language samples that have a high degree of similarity to the source language input to be translated. To efficiently use the translation suggestions, they may be encoded in context with the source language input to be translated, and the machine translation system may use the encoded translation suggestions with to generate a translation in the target language.

Abstract: A computer-implemented method for evaluating user reviews over distributed documents of a product comprising the steps of: [STEP 1] extracting and analyzing of user reviews using sentiment engine; [STEP 2] aggregating/annotating the output of sentiment engine analysis; and [STEP 3] displaying the annotated output in a tree-map visualization.