Datasets:
Tasks:
Sentence Similarity
Languages:
German
Multilinguality:
monolingual
Size Categories:
10M<n<100M
ArXiv:
License:
Update README.md
Browse files
README.md
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## Citations & Acknowledgements
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OpenSubtitles
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P. Lison and J. Tiedemann, 2016, [OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles](http://www.lrec-conf.org/proceedings/lrec2016/pdf/947_Paper.pdf). In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) - also see [http://www.opensubtitles.org/](http://www.opensubtitles.org/)
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WikiMatrix v1
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Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://arxiv.org/abs/1907.05791), arXiv, July 11 2019
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Tatoeba v2022-03-03
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J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
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## Licensing
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Copyright (c) 2022 Philip May, Deutsche Telekom AG
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## Citations & Acknowledgements
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**OpenSubtitles**\
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P. Lison and J. Tiedemann, 2016, [OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles](http://www.lrec-conf.org/proceedings/lrec2016/pdf/947_Paper.pdf). In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) - also see [http://www.opensubtitles.org/](http://www.opensubtitles.org/)
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**WikiMatrix v1**\
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Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://arxiv.org/abs/1907.05791), arXiv, July 11 2019
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**Tatoeba v2022-03-03**\
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J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
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**TED2020 v1**\
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Reimers, Nils and Gurevych, Iryna, [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://arxiv.org/abs/2004.09813), In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, November 2020
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## Licensing
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Copyright (c) 2022 Philip May, Deutsche Telekom AG
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