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@@ -75,7 +75,7 @@ The 9,033,998 sentence pairs of synthetic parallel data were created by translat
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  #### Preprocessing
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- 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 9,033,998 parallel sentences.
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  #### Tokenization
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  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.
 
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  #### Preprocessing
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+ 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 9,033,998 parallel sentences.
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  #### Tokenization
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  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.