amazon-research / gfst-nmt
Code and data for the paper "GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation" (EMNLP 2021).
Summary
 |
|||
| Main Code: 184,524 LOC (6 files) = RU (99%) + PY (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 15 LOC (1); Other: 301,260 LOC (7); |
|||
| File Size: 99% long (>1000 LOC), <1% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 55% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 36% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (2 components) | ||
|
|
4 months old
|
||
|
|
0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-12-03
|
0
commits
(30 days)
0
contributors
(30 days) |
|