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The ELITR ECA Corpus

arXiv 2109.07351 ↗First posted 15 Sep 2021cs.CLcited by 2

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Abstract (arXiv)

We present the ELITR ECA corpus, a multilingual corpus derived from publications of the European Court of Auditors. We use automatic translation together with Bleualign to identify parallel sentence pairs in all 506 translation directions. The result is a corpus comprising 264k document pairs and 41.9M sentence pairs.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 14 references that are in the map. First posted on arXiv 15 Sep 2021.

Builds on

6 of 14 references.

References · 6

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
  3. 2016Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translationcited by 469
  4. 2020Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translationcited by 277
  5. 2019Massively Multilingual Neural Machine Translationcited by 246
  6. 2018Marian: Fast Neural Machine Translation in C++cited by 203

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 1.

2 papers.

  1. 2024Tower: An Open Multilingual Large Language Model for Translation-Related Taskscited by 206
  2. 2026EuroLLM-22B: Technical Reportcited by 9