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SciPar: A Collection of Parallel Corpora from Scientific Abstracts (2022.lrec-1)

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Challenge: SciPar is a collection of parallel corpora created from openly available metadata of bachelor theses, master theses and doctoral dissertations hosted in institutional repositories, digital libraries and national archives.
Approach: They propose to harvest and process openly available metadata from repositories to extract bilingual titles and abstracts from scientific publications.
Outcome: The proposed corpora could be useful for cross-lingual plagiarism detection or adapting Machine Translation systems for translation of scientific texts and academic writing in general.

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