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  ---
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- license:
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- - apache-2.0
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  task_categories:
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  - translation
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  language:
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  - **VA**: A sentence in Valencian.
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  - **ES**: The corresponding translation of the Valencian sentence in Spanish.
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  - **Source**: The name of the source file from which the sentence pair was extracted.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Funding
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  ## Reference
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- Please cite this model using the following BibTeX format:
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  ```
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  @misc{dogv2025parallel,
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  ## License
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- [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
 
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  ---
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+ license: cc-by-4.0
 
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  task_categories:
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  - translation
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  language:
 
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  - **VA**: A sentence in Valencian.
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  - **ES**: The corresponding translation of the Valencian sentence in Spanish.
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  - **Source**: The name of the source file from which the sentence pair was extracted.
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ This dataset is aimed at promoting the development of Machine Translation
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+ between Valencian and Spanish, supporting research in multilingual NLP
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+ and facilitating the development of translation systems for these language pairs.
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+
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+ ### Source Data
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+ The parallel data in this dataset is extracted from web documents published by the [Diari Oficial de la
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+ Generalitat Valenciana (DOGV)](https://dogv.gva.es/es/inici/).
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+
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+ ### Data Filtering and Normalization
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+ All data underwent rigorous filtering and normalization:
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+ - **Alignment filtering**: Sentence- and paragraph-level alignments were calculated with the [`gplsi
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+ translation-alignment` tool](https://github.com/gplsi/translation-alignment).
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+ - **Language identification**: Valencian documents are filtered using a private discriminative tool to differentiate them from Catalan.
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+ - **Deduplication:** The filtered datasets were deduplicated to remove redundant sentence pairs
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+
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+ The filtered and normalized datasets were then concatenated to form the final corpus.
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  ## Funding
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  ## Reference
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+ Please cite this dataset using the following BibTeX format:
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  ```
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  @misc{dogv2025parallel,
 
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  ## License
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+ This work is licensed under a [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) licence.