SciPar UK-EN-RU
This is part of SciPar, a collection of parallel corpora constructed from parallel titles and abstracts of theses and dissertations, based on the openly available metadata on institutional repositories, digital libraries of universities, and national archives. The updated version (with Ukrainian repositories) consists of 9.73M sentence pairs in 33 language pairs (covering 26 languages).
ELRC-5067-SciPar is a public data set distributed by the
https://www.elrc-share.eu Non-standard license: The vast majority of the texts that were acquired and processed in order to create SciPar are provided under Creative Commons (CC) licenses. It should be noted that although the texts of some theses and dissertations are copyrighted or do not allow derivative works, the titles and abstracts by themselves constitute freely and publicly available metadata.
Please, cite: @InProceedings{roussis-EtAl:2022:LREC2,
author = {Roussis, Dimitrios and Papavassiliou, Vassilis and Prokopidis, Prokopis and Piperidis, Stelios and Katsouros, Vassilis},
title = {SciPar: A Collection of Parallel Corpora from Scientific Abstracts},
booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {2652--2657},
url = {https://aclanthology.org/2022.lrec-1.284}
} Please acknowledge the
original sources and providers of the data and also cite the
following article if you use any part of the corpus in your own work: J. Tiedemann, 2012,
Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012