amazon-research / contextual-attention-nlm
Accompanying code for paper "Attention-Based Contextual Language Model Adaptation for Speech Recognition", submitted to ACL 2021.
Summary
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| Main Code: 1,168 LOC (9 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 160 LOC (5); |
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| Duplication: 13% | |||
| File Size: 0% long (>1000 LOC), 65% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 69% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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less than a month old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
1 file |
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Latest commit date: 2021-05-21
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