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Datasets:
deutsche-telekom
/
ger-backtrans-paraphrase

Tasks:
Sentence Similarity
Modalities:
Tabular
Text
Formats:
csv
Languages:
German
Size:
10M - 100M
ArXiv:
Tags:
sentence-transformers
Libraries:
Datasets
pandas
License:
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@@ -49,17 +49,17 @@ en2de = torch.hub.load(
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  ## Citations & Acknowledgements
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- **OpenSubtitles**\
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  - citation: 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)
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  - also see [http://www.opensubtitles.org/](http://www.opensubtitles.org/)
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- **WikiMatrix v1**\
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  - citation: 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, News-Commentary v16 & GlobalVoices v2018q4**\
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  - citation: 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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  - citation: 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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  - acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service
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  ## Citations & Acknowledgements
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+ **OpenSubtitles**
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  - citation: 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)
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  - also see [http://www.opensubtitles.org/](http://www.opensubtitles.org/)
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+ **WikiMatrix v1**
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  - citation: 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, News-Commentary v16 & GlobalVoices v2018q4**
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  - citation: 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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  - citation: 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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  - acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service
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