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add paper link

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@@ -66,8 +66,8 @@ This dataset is aimed at promoting the development of Machine Translation betwee
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  This dataset was created as part of the participation of Language Technologies Unit at BSC in the WMT24 Shared Task:
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  [Translation into Low-Resource Languages of Spain](https://www2.statmt.org/wmt24/romance-task.html).
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- The corpus is the result of a thorough cleaning and preprocessing, as described in detail in the paper "Training and Fine-Tuning
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- NMT Models for Low-Resource Languages using Apertium-Based Synthetic Corpora" (link to be added as soon as published).
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  As no filtering based on alignment score was applied, the dataset may contain poorly aligned sentences.
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  This dataset is mainly synthetic, generated using the rule-based translator [Apertium](https://www.apertium.org/).
 
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  This dataset was created as part of the participation of Language Technologies Unit at BSC in the WMT24 Shared Task:
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  [Translation into Low-Resource Languages of Spain](https://www2.statmt.org/wmt24/romance-task.html).
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+ The corpus is the result of a thorough cleaning and preprocessing, as described in detail in the paper ["Training and Fine-Tuning
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+ NMT Models for Low-Resource Languages using Apertium-Based Synthetic Corpora"](https://aclanthology.org/2024.wmt-1.90/).
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  As no filtering based on alignment score was applied, the dataset may contain poorly aligned sentences.
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  This dataset is mainly synthetic, generated using the rule-based translator [Apertium](https://www.apertium.org/).