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。
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。
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