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Main Authors: Wastl, Michelle, Vamvas, Jannis, Calleri, Selena, Sennrich, Rico
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.21677
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author Wastl, Michelle
Vamvas, Jannis
Calleri, Selena
Sennrich, Rico
author_facet Wastl, Michelle
Vamvas, Jannis
Calleri, Selena
Sennrich, Rico
contents We present 20min-XD (20 Minuten cross-lingual document-level), a French-German, document-level comparable corpus of news articles, sourced from the Swiss online news outlet 20 Minuten/20 minutes. Our dataset comprises around 15,000 article pairs spanning 2015 to 2024, automatically aligned based on semantic similarity. We detail the data collection process and alignment methodology. Furthermore, we provide a qualitative and quantitative analysis of the corpus. The resulting dataset exhibits a broad spectrum of cross-lingual similarity, ranging from near-translations to loosely related articles, making it valuable for various NLP applications and broad linguistically motivated studies. We publicly release the dataset in document- and sentence-aligned versions and code for the described experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21677
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle 20min-XD: A Comparable Corpus of Swiss News Articles
Wastl, Michelle
Vamvas, Jannis
Calleri, Selena
Sennrich, Rico
Computation and Language
We present 20min-XD (20 Minuten cross-lingual document-level), a French-German, document-level comparable corpus of news articles, sourced from the Swiss online news outlet 20 Minuten/20 minutes. Our dataset comprises around 15,000 article pairs spanning 2015 to 2024, automatically aligned based on semantic similarity. We detail the data collection process and alignment methodology. Furthermore, we provide a qualitative and quantitative analysis of the corpus. The resulting dataset exhibits a broad spectrum of cross-lingual similarity, ranging from near-translations to loosely related articles, making it valuable for various NLP applications and broad linguistically motivated studies. We publicly release the dataset in document- and sentence-aligned versions and code for the described experiments.
title 20min-XD: A Comparable Corpus of Swiss News Articles
topic Computation and Language
url https://arxiv.org/abs/2504.21677