公开(公告)号：US20240394025A1

公开(公告)日：2024-11-28

申请号：US18792153

申请日：2024-08-01

Applicant: GOOGLE LLC

Inventor： Giovanni De Toni ,  Rishabh Singh ,  Jonathan Malmaud ,  Navneet Potti

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.

公开(公告)号：US12093672B2

公开(公告)日：2024-09-17

申请号：US18076189

申请日：2022-12-06

Applicant: Google LLC

Inventor： Giovanni De Toni ,  Rishabh Singh ,  Jonathan Malmaud ,  Navneet Potti

IPC: G06F9/44 ,  G06F8/41 ,  G06F8/51 ,  G06F9/455 ,  G06F11/36 ,  G06N3/045 ,  G06N3/0455 ,  G06N3/08 ,  G06N20/00

CPC classification number: G06F8/51 ,  G06F8/42 ,  G06F11/3616 ,  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.

公开(公告)号：US20240184555A1

公开(公告)日：2024-06-06

申请号：US18076189

申请日：2022-12-06

Applicant: Google LLC

Inventor： Giovanni De Toni ,  Rishabh Singh ,  Jonathan Malmaud ,  Navneet Potti

IPC: G06F8/51 ,  G06F8/41 ,  G06F11/36 ,  G06N3/0455 ,  G06N3/08

CPC classification number: G06F8/51 ,  G06F8/42 ,  G06F11/3616 ,  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.