GitHub - xlm12341/tools_reproduction: Test automation

主要内容见论文理解：Data Augmentation with Adversarial Training for Cross-Lingual NLI(note)

借鉴了text2text

下载了facebook的一个多语言翻译模型，能实现100种语言的互相翻译，作为测试。

学习参考了text2text的实现过程。包括基本的分词，向量化，tfidf计算等等。

总的来说只能跑通和使用给的一些函数调用，自己实现还存在困难。

https://zhuanlan.zhihu.com/p/368226087

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).assets		Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).assets
README.assets		README.assets
text2text		text2text
.gitignore		.gitignore
Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).md		Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).md
Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).pdf		Data Augmentation with Adversarial Training for Cross-Lingual NLI(note).pdf
README.md		README.md
main.py		main.py
setup.py		setup.py
text2text_demo.ipynb		text2text_demo.ipynb

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