Update README.md

README.md

@@ -71,7 +71,7 @@ The 9,692,996 sentence pairs of synthetic parallel data were created by translat
 
 #### Preprocessing
 
-After concatenation, all datasets are cleaned and deduplicated using [bifixer](https://github.com/bitextor/bifixer) and [biclener](https://github.com/bitextor/bicleaner) tools [(Ramírez-Sánchez et al., 2020)](https://aclanthology.org/2020.eamt-1.31/). Any sentence pairs with a classification score of less than 0.5 is removed. The filtered corpus is composed of 10,582,279 parallel sentences.
+After concatenation, all datasets are cleaned and deduplicated using [bifixer](https://github.com/bitextor/bifixer) [(Ramírez-Sánchez et al., 2020)](https://aclanthology.org/2020.eamt-1.31/) for identifying repetions and cleaning encoding problems and LaBSE embeddings to filter missaligned sentences. Any sentence pairs with a LaBSE similarity score of less than 0.5 is removed. The filtered corpus is composed of 10,582,279 parallel sentences.
 
 #### Tokenization
 All data is tokenized using sentencepiece, with a 32,000 token sentencepiece model learned from the combination of all filtered training data. This model is included.