Comments (1)
chck
commented on September 24, 2024
nlpaug wrapped by AugLy, have already implemented BackTranslationAug.
So, this issue should move to AugLy instead AugLy-jp.
Anyway, the main target of this repo is Japanese Text.
However, nlpaug implements the translation model based on HuggingFace's Transformer (e.g.Helsinki-NLP) whose accuracy is not good about Japanese.
Expect to experiment the comparison between translation models including OSS (e.g.Helsinki-NLP) and SaaS (e.g.Google Translate). #8
ref.
Helsinki-NLP/opus-mt-jp-en
Helsinki-NLP/opus-mt-en-jap
Facebook/mbart-large-cc25
from augly-jp.
Related Issues (10)
- Add augmenter: word-embeddings substitution
- Replace the default model for BackTranslationAugmenter HOT 2
- Add augmenter: Masked Language Model
- Publish this package to PyPI
- Add experiments with augmentation
- Add CI to publish package to pypi
- Add CI to test
- Add experiments related to back translation between translation models
- BackTranslationAugmenter cause `IndexError: index out of range in self`
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