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Add acknowledgments

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@@ -35,7 +35,7 @@ The sentences included in the dataset are in Spanish (ES) and Aragonese (AN).
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  ### Data Instances
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- Two separate txt files are provided with the sentences sorted in the same order:
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  - es-an_corpus.es
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  - es-an_corpus.an
@@ -68,7 +68,7 @@ This dataset was created as part of the participation of Language Technologies U
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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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- No filtering based on translation quality has been applied.
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  This dataset is mainly synthetic, generated using the rule-based translator [Apertium](https://www.apertium.org/).
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  It contains synthetic Spanish, derived from the Aragonese [PILAR](https://github.com/transducens/PILAR) monolingual dataset.
@@ -121,10 +121,17 @@ The dataset contains data of a general domain. Applications of this dataset in m
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  Language Technologies Unit at the Barcelona Supercomputing Center ([email protected]).
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  ### Licensing Information
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- This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
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  ### Citation Information
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  ### Data Instances
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+ Two separate txt files are provided:
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  - es-an_corpus.es
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  - es-an_corpus.an
 
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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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  It contains synthetic Spanish, derived from the Aragonese [PILAR](https://github.com/transducens/PILAR) monolingual dataset.
 
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  Language Technologies Unit at the Barcelona Supercomputing Center ([email protected]).
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+ This work is funded by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación,
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+ Transformación y Resiliencia - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference
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+ 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335, 2022/TL22/00215334.
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+
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+ The publication is part of the project PID2021-123988OB-C33, funded by MCIN/AEI/10.13039/501100011033/FEDER, EU.
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  ### Licensing Information
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+ This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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+ due to licence restrictions on part of the original data.
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  ### Citation Information
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