Patent · US Active

Systems and methods for generating natural language using language models trained on computer code

US12008341B2 · kind B2 · utility

2Cited by
1References
19Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 23, 2023
Grant dateJun 11, 2024
Priority date
Expiry dateMay 23, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F40/186
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Disclosed herein are methods, systems, and computer-readable media for generating natural language based on computer code input. In an embodiment, a method may comprise one or more of: accessing a docstring generation model configured to generate docstrings from computer code; receiving one or more computer code samples; generating, using the docstring generation model and based on the received one or more computer code samples, one or more candidate docstrings representing natural language text, each of the one or more candidate docstrings being associated with at least a portion of the one or more computer code samples; identifying at least one of the one or more candidate docstrings that provides an intent of the at least a portion of the one or more computer code samples; and/or outputting, via a user interface, the at least one identified docstring with the at least a portion of the one or more computer code samples.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.