1 files changed, 3 insertions, 3 deletions
diff --git a/README.md b/README.md
index 9b8da9c..ea0c2ba 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # Evaluating cross-lingual textual similarity on dictionary alignment
-This repository contains the scripts to prepare the resources for the study as well as open source implementations of the methods.
+This repository contains the scripts to prepare the resources for the study as well as open source implementations of the methods. Word Mover's Distance and Sinkhorn implementations are extended from [Cross-lingual retrieval with Wasserstein distance](https://github.com/balikasg/WassersteinRetrieval).
 ## Requirements
 - Python 3
@@ -56,8 +56,8 @@ Linewise aligned definition files are in `wordnets/ready`.
 ## Acquiring The Embeddings
-We use [VecMap](https://github.com/artetxem/vecmap) on [fastText](https://fasttext.cc/) embeddings.
+We use [VecMap](https://github.com/artetxem/vecmap) on [fastText](https://fasttext.cc/) embeddings. You can skip this step if you are providing your own polylingual embeddings.
-You can skip this step if you are providing your own polylingual embeddings.
 Otherwise;
 * initialize and update the VecMap submodule;

diff --git a/README.md b/README.md index 9b8da9c..ea0c2ba 100644 --- a/README.md +++ b/README.md
@@ -1,6 +1,6 @@
1	# Evaluating cross-lingual textual similarity on dictionary alignment	1	# Evaluating cross-lingual textual similarity on dictionary alignment
2		2
3	This repository contains the scripts to prepare the resources for the study as well as open source implementations of the methods.	3	This repository contains the scripts to prepare the resources for the study as well as open source implementations of the methods. Word Mover's Distance and Sinkhorn implementations are extended from [Cross-lingual retrieval with Wasserstein distance](https://github.com/balikasg/WassersteinRetrieval).
4		4
5	## Requirements	5	## Requirements
6	- Python 3	6	- Python 3
@@ -56,8 +56,8 @@ Linewise aligned definition files are in `wordnets/ready`.
56		56
57	## Acquiring The Embeddings	57	## Acquiring The Embeddings
58		58
59	We use [VecMap](https://github.com/artetxem/vecmap) on [fastText](https://fasttext.cc/) embeddings.	59	We use [VecMap](https://github.com/artetxem/vecmap) on [fastText](https://fasttext.cc/) embeddings. You can skip this step if you are providing your own polylingual embeddings.
60	You can skip this step if you are providing your own polylingual embeddings.	60
61	Otherwise;	61	Otherwise;
62		62
63	* initialize and update the VecMap submodule;	63	* initialize and update the VecMap submodule;