From 3fabfb1dd941ac514e53f772551c3c8a69757f79 Mon Sep 17 00:00:00 2001 From: nlpfun Date: Sun, 28 Nov 2021 14:50:58 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d677966..07f2373 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ Word Embedding-Based Bilingual Sentence Aligner Bertalign is designed to facilitate the construction of sentence-aligned bilingual corpora, which have a wide range of applications in translated-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). +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 our dataset of bilingual Chinese-English literary texts. ## Installation