SciPar: A Collection of Parallel Corpora from Scientific Abstracts

Dimitrios Roussis, Vassilis Papavassiliou, Prokopis Prokopidis, Stelios Piperidis, Vassilis Katsouros

Abstract
This paper presents SciPar, a new collection of parallel corpora created from openly available metadata of bachelor theses, master theses and doctoral dissertations hosted in institutional repositories, digital libraries of universities and national archives. We describe first how we harvested and processed metadata from 86, mainly European, repositories to extract bilingual titles and abstracts, and then how we mined high quality sentence pairs in a wide range of scientific areas and sub-disciplines. In total, the resource includes 9.17 million segment alignments in 31 language pairs and is publicly available via the ELRC-SHARE repository. The bilingual corpora in this collection could prove valuable in various applications, such as cross-lingual plagiarism detection or adapting Machine Translation systems for the translation of scientific texts and academic writing in general, especially for language pairs which include English.
Anthology ID:
2022.lrec-1.284
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2652–2657
Language:
URL:
https://aclanthology.org/2022.lrec-1.284
DOI:
Bibkey:
Cite (ACL):
Dimitrios Roussis, Vassilis Papavassiliou, Prokopis Prokopidis, Stelios Piperidis, and Vassilis Katsouros. 2022. SciPar: A Collection of Parallel Corpora from Scientific Abstracts. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2652–2657, Marseille, France. European Language Resources Association.
Cite (Informal):
SciPar: A Collection of Parallel Corpora from Scientific Abstracts (Roussis et al., LREC 2022)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.284.pdf
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