From 80b69427e380ba297a7d2e71cc090490b0a7761d Mon Sep 17 00:00:00 2001 From: bfsujason Date: Sun, 28 Nov 2021 21:32:03 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9a2f8df..c003e41 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ pip install faiss-gpu pip install sentence-transformers ``` -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. +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 models [sentence-transformers](https://github.com/UKPLab/sentence-transformers). @@ -110,7 +110,7 @@ The parameter *-n* indicates the maximum number of overlapping sentences allowed Please refer to [Sennrich & Volk (2010)](https://aclanthology.org/people/r/rico-sennrich/) for the difference between Strict and Lax evaluation method. We can see that the F1 score is 0.91 when aligning MAC-Dev using Bertalign. -Please note that aligning literary texts is not an easy task, since they contain more interpretive and free translations than non-literary works. You can refer to [Xu et al. (2015)](https://aclanthology.org/2015.lilt-12.6/) for more details about sentence alignment of literary texts. Let's see how the other systems perform on MAC-Dev: +Aligning literary texts is not an easy task, since they contain more interpretive and free translations than non-literary works. You can refer to [Xu et al. (2015)](https://aclanthology.org/2015.lilt-12.6/) for more details about sentence alignment of literary texts. Let's see how the other systems perform on MAC-Dev: #### Baseline Approaches