This project allows users to paraphrase Chinese(ZH) and English(EN) sentences through an API.

This paraphraser is powered by a round-trip translation. ZH-EN and EN-ZH machine translation models are trained separately using fairseq, with reference to fairseq's back translation example, with WMT English-Chinese(EN-ZH) translation dataset. The models are then used to paraphrase a sentence by translating it to an intermediate language and back.

Download models here.

• python 3.x

• fairseq 0.9.0

...

1. Download all the files and models.
2. Place the model files into the model folder.
3. Run $ python app.py on a terminal.
4. Paste the following link on a browser.

http://localhost:8000/?lang=xx&text=blablabla

• Replace localhost with your local host (e.g. 0.0.0.0)
• Replace xx with the language of the sentence that you want to paraphrase, either zh or en.
• Replace blablabla with the sentence you want to paraphrase.

Chinese:

• http:// localhost :8000/?lang=ZH&text=上個月你有沒有去小明的生日派對?

  • {"lang":"zh","original":"上個月你有沒有去小明的生日派對?","paraphrased":"上個月你去小明的生日聚會了嗎?"}

• http:// localhost :8000/?lang=zh&text=我們這些東西可以在必要時扔掉。

  • {"lang":"zh","original":"我們這些東西可以在必要時扔掉。","paraphrased":"我們可以在必要時把這些東西扔掉。"}

English:

• http:// localhost :8000/?lang=EN&text=When I learned that there was a gift for each child, I was delighted.

  • {"lang":"en","original":"When I learned that there was a gift for each child, I was delighted.","paraphrased":"i was very happy when i learned that every child had a gift."}

• http:// localhost :8000/?lang=en&text=stuffy nose and elevated temperature are signs you may have the flu.

  • {"lang":"en","original":"stuffy nose and elevated temperature are signs you may have the flu.","paraphrased":"a stuffy nose and high temperature are signs that you may be infected with flu."}

Other languages (not supported):

• http:// localhost :8000/?lang=fr&text=Le français est une langue indo-européenne de la famille des langues romanes.

  • {"Error":"Wrong language input."}