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Wikipedia is a well-known example of a website with content developed entirely through crowdsourcing. It has over 4 million articles in English alone, and content in 284 other language versions. While the articles in the different versions are often written directly in the respective target-language, translations also take place. Given that a previous study suggested that many of English Wikipedia's translators had neither formal training in translation nor professional work experience as translators, it is worth examining the quality of the translations produced. This paper uses Mossop's taxonomy of editing and revising procedures to explore a corpus of translated Wikipedia articles to determine how often transfer and language/style problems are present in these translations and assess how these problems are addressed.
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Stored only when both papers are in the corpus — 54 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.