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GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies

Marta R. Costa-jussà; Pau Li Lin; Cristina España-Bonet
In: 12th Language Resources and Evaluation Conference (LREC). International Conference on Language Resources and Evaluation (LREC-2020), May 12-17, Marseille, France, European Language Resources Association (ELRA), Paris, 5/2020.


We introduce GeBioToolkit, a tool for extracting multilingual parallel corpora at sentence level, with document and gender information from Wikipedia biographies. Despite the gender inequalities present in Wikipedia, the toolkit has been designed to extract corpus balanced in gender. While our toolkit is customizable to any number of languages (and to other domains than biographical entries), in this work we present a corpus of 2,000 sentences in English, Spanish and Catalan, which has been post-edited by native speakers to become a high-quality dataset for machine translation evaluation. While GeBioCorpus aims at being one of the first non-synthetic gender-balanced test datasets, GeBioToolkit aims at paving the path to standardize procedures to produce gender-balanced datasets.