20min-XD: A Comparable Corpus of Swiss News Articles
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 12 of its 22 references that are in the map. First posted on arXiv 30 Apr 2025.
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12 of 22 references.
References · 12
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- 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,035
- 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 981
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- 2018Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyondcited by 434
- 2024mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrievalcited by 236
- 2020SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddingscited by 156
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- 2024Understanding Cross-Lingual Alignment -- A Surveycited by 34
- 2024LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddingscited by 7
- 2023Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documentscited by 5
- 2024Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documentscited by 2
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Citing papers per year: 2025: 2.
2 papers.