diff --git a/README.md b/README.md index 676a74a..4a16d4d 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ pip install sentence-transformers Please note that embedding sentences on GPU-enabled machines is much faster than those with CPU only. The following experiments are conducted using [Google Colab](https://colab.research.google.com/) which provides free GPU service. ## Evaluation Corpora -Bertalign is language-agnostic thanks to the cross-language embedding model [sentence-transformers](https://github.com/UKPLab/sentence-transformers). +Bertalign is language-agnostic thanks to the cross-language embedding models provided by [sentence-transformers](https://github.com/UKPLab/sentence-transformers). For now, we use two Chinese-English corpora and one German-French corpus to evaluate the performance of Bertalign. Dataset with other language pairs are to be added later.