Invention Application
- Patent Title: ITERATIVE NEURAL CODE TRANSLATION
-
Application No.: US18792153Application Date: 2024-08-01
-
Publication No.: US20240394025A1Publication Date: 2024-11-28
- Inventor: Giovanni De Toni , Rishabh Singh , Jonathan Malmaud , Navneet Potti
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06F8/51
- IPC: G06F8/51 ; G06F8/41 ; G06F11/36 ; G06N3/0455 ; G06N3/08

Abstract:
Techniques are described herein for iterative code generation using neural language models. In various implementations, an original source code snippet in a first programming language may be processed using a translation machine learning model to generate a first translation of the original source code snippet in a second programming language. The first translation of the original source code snippet may be evaluated to identify error(s) in the first translation. Based on the error(s), respective mask(s) may be inserted to generate a masked first translation of the original source code snippet in the second programming language. The masked first translation of the original source code snippet may be processed using the translation machine learning model to generate a second translation of the original source code snippet in the second language. The second translation may include infill(s) of corrected source code in place of one or more of the masks.
Information query