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pretty_name: HunSimpleNews
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pretty_name: HunSimpleNews
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size_categories:
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---
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# HunSimpleNews
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The majority of the text simplification literature in NLP focuses on simplifying sentences.
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From a theoretical standpoint, this approach is not entirely valid as it misses vital context
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required to dissolve ambiguities in meaning, references and the process itself.
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HunSimpleNews is the first Hungarian text simplification corpus that includes
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the standard and simplified versions of whole documents.
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The corpus contains news article pairs taken from the Serbian Hungarian news outlet
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[Pannon RTV](https://pannonrtv.com/). The simplification was performed manually
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by a journalist of the portal.
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The data is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (cc-by-nc-sa-4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) licence.
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If you use the corpus in any form, please cite the following paper (in Hungarian):
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Prótár, Noémi and Nemeskey, Dávid Márk: HunSimpleNews: Az első autentikus magyar nyelvű szövegekből álló szövegegyszerűsítési korpusz.
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In XXI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY2025), pages 197–218, Szeged.
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