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chxw20 · Jul 24, 2020 · 950c31d · 950c31d
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 # Graph Optimal Transport framework for cross-domain alignment
 
 ## Summary
-In this work, both Gromov-Wasserstein and Wasserstein distance are applied to improve the performance of different cross-domain alignment tasks, such as VQA, Machine Translationetc
+In this work, both Gromov-Wasserstein and Wasserstein distance are applied to improve the performance of different cross-domain alignment tasks, such as VQA, Machine Translation, etc
 
 ## Implemntation 
 Note that the VQA model is developed upon [BAN model](https://github.com/jnhwkim/ban-vqa).
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 And the machine translation model is developed upon [texar](https://github.com/asyml/texar).