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+++ b/README.md
@@ -3,7 +3,7 @@ Word Embedding-Based Bilingual Sentence Aligner
 
 Bertalign is designed to facilitate the construction of bilingual parallel corpora, which have a wide range of applications in translation-related research such as corpus-based translation studies, contrastive linguistics, computer-assisted translation, translator education and machine translation.
 
-Bertalign uses [cross-lingua embedding models](https://github.com/UKPLab/sentence-transformers) to represent source and target sentences in vectors in order to capture semantically similar sentences in both languages, which according to our explements achieves more accurate results than the traditional length-, dictionary-, or MT-based alignment methods such as [Galechurch](https://aclanthology.org/J93-1004/), [Hunalign](http://mokk.bme.hu/en/resources/hunalign/) and [Bleualign](https://github.com/rsennrich/Bleualign). It also performs better than [Vecalign](https://github.com/thompsonb/vecalign) on MAC, a manually aligned parallel corpus of Chinese-English literary texts.
+Bertalign uses [cross-lingua embedding models](https://github.com/UKPLab/sentence-transformers) to represent source and target sentences so that semantically similar sentences in different languages can be mapped onto similar vector spaces. According to our explements, Bertalign achieves more accurate results than the traditional length-, dictionary-, or MT-based alignment methods such as [Galechurch](https://aclanthology.org/J93-1004/), [Hunalign](http://mokk.bme.hu/en/resources/hunalign/) and [Bleualign](https://github.com/rsennrich/Bleualign). It also performs better than [Vecalign](https://github.com/thompsonb/vecalign) on MAC, a manually aligned parallel corpus of Chinese-English literary texts.
 
 ## Installation