Google llc (20240256235). SYNTACTICALLY COHERENT CODE SEGMENTATION simplified abstract
Contents
- 1 SYNTACTICALLY COHERENT CODE SEGMENTATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYNTACTICALLY COHERENT CODE SEGMENTATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Source Code Segmentation
- 1.13 Original Abstract Submitted
SYNTACTICALLY COHERENT CODE SEGMENTATION
Organization Name
Inventor(s)
Navneet Potti of Sunnyvale CA (US)
Joshua Howland of Mountain View CA (US)
SYNTACTICALLY COHERENT CODE SEGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240256235 titled 'SYNTACTICALLY COHERENT CODE SEGMENTATION
Simplified Explanation
The patent application describes techniques for segmenting source code into coherent sequences of tokens that meet constraints in sequence-to-sequence networks. Source code is processed to generate graphs, which are then traversed to identify token sequences that satisfy network constraints. These sequences are segmented and processed using the network.
Key Features and Innovation
- Segmenting source code into coherent sequences of tokens
- Generating graphs representing the source code
- Traversing graphs to identify token sequences that meet network constraints
- Processing identified token sequences using sequence-to-sequence networks
Potential Applications
This technology can be applied in:
- Code generation
- Automated code translation
- Program analysis and optimization
Problems Solved
- Efficient segmentation of source code
- Meeting constraints in sequence-to-sequence networks
- Enhancing code processing and analysis
Benefits
- Improved code processing accuracy
- Enhanced automation in code-related tasks
- Facilitates code translation and analysis
Commercial Applications
Potential commercial uses include:
- Software development tools
- Code translation services
- Code optimization platforms
Prior Art
Readers can explore prior art related to this technology in the field of sequence-to-sequence networks and code processing algorithms.
Frequently Updated Research
Stay updated on the latest research in sequence-to-sequence networks and code processing techniques for further advancements in this technology.
Questions about Source Code Segmentation
How does this technology improve code processing efficiency?
This technology enhances code processing efficiency by segmenting source code into coherent sequences of tokens that meet constraints in sequence-to-sequence networks, allowing for more accurate and automated processing.
What are the potential applications of this technology beyond code generation?
In addition to code generation, this technology can be applied in automated code translation, program analysis, and optimization tasks, expanding its utility in various software development processes.
Original Abstract Submitted
techniques are described herein for segmenting source code into syntactically coherent sequences of tokens that satisfy constraints inherent in sequence-to-sequence networks. in various implementations, source code may be processed to generate one or more graphs representing the source code. one or more of the graphs may then be traversed to identify one or more sequences of tokens within the source code that satisfy an input constraint of a sequence-to-sequence network. the source code may be segmented into the identified one or more sequences of tokens. the one or more sequences of tokens may then be processed using the sequence-to-sequence network.
