lm-scorer
penney
lm-scorer | penney | |
---|---|---|
4 | 2 | |
294 | 26 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | 11 days ago | |
Python | Python | |
MIT License | MIT License |
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lm-scorer
- How to obbtain probability for entire sequence (Huggingface transformers)
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MLM vs CLM for actual language modeling
I've tried this once and found the CLM score to be a better indicator than BERT log prob for my use-case. For CLM, I had used lm-scorer.
- "simonepri/lm-scorer: Language Model based sentences scoring library" ("This package provides a simple programming interface to score sentences using different ML language models.")
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Whole sentence rather than word frequency nltk?
As in, how generally would a sentence make sense in the totality of English? You could look into language models that give probability of a sentence. You can try a library called lm-scorer.
penney
What are some alternatives?
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