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AssigneeMicrosoft Technology Licensing, LLC
InventorsKonstantin Andreyevich GOLOBOKOV, Zeqi LIN, Haizhen ZHANG, Yu HU, Yousef Ahmed AL-KOFAHI, Jonathan Richard MALSAN, Haiyuan CAO, Daniel Akintola FATADE
Estimating the term…
The automatic generation of synthetic training data that can be used to train a language model to generate code examples following a code language based on a natural language input. Thus, new language models may be created, or existing language models may be fine-tuned, to adapt to automatically generate code without having to manually generate bulk quantities of training data. Rather, a many-to-many grammar mapping is navigated to generate training data. Specifically, the many-to-many grammar mapping maps code grammar to natural grammar. Then, each training data is generated by navigating the many-to-many grammar mapping definition to generate a mapping of a respective code expression to a respective natural language expression.
A computing system that generates synthetic training data, said computing system comprising:
A method for generating synthetic training data, said method comprising:
One or more hardware storage devices that store instructions that are executable by one or more processors to cause the one or more processors to:
Dependencies are inferred from the claim text.