SW4ALL corpus: tagged and ready for searching
(2018) CALL your DATA Proceedings — ISBN: [9789057285943], 364-371, published
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- Abstract
- Learning a second language is a task that requires a good amount of time and dedication. Part of the process involves reading and writing texts in the target language, but the search for texts that are interesting for learners and pertain to their level is a time-consuming task. By focusing on the need for texts suited for different language learners, we present in this study a corpus classified by language proficiency level that allows the learner to observe ways of describing the same topic or content by using strategies from different proficiency levels. SW4ALL uses the alignments between the English Wikipedia and the Simple English Wikipedia and an annotation of language levels. We used an automatic approach for the organizing the corpus, followed by an analysis to sort out annotation errors. The resource contains 8,669 pairs of documents portraying different levels of language proficiency.
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Wilkens, R., Zilio, L., & Fairon, C. (2018). SW4ALL corpus: tagged and ready for searching. In Jozef Colpaert, Ann Aerts, Frederik Cornillie (ed.), CALL your DATA Proceedings (pp. 364-371). Universiteit Antwerpen. https://hdl.handle.net/2078.5/277012