Datasets:
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README.md
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We publicly release the processed dataset including all collected behavioural data, to foster new research on the ability of state-of-the-art NMT systems to generate text in typologically diverse languages.
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### Languages
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The language data of DivEMT is in English (BCP-47 `en`), Italian (BCP-47 `it`), Dutch (BCP-47 `nl`), Arabic (BCP-47 `ar`), Turkish (BCP-47 `tr`), Ukrainian (BCP-47 `uk`) and Vietnamese (BCP-47 `vi`)
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We publicly release the processed dataset including all collected behavioural data, to foster new research on the ability of state-of-the-art NMT systems to generate text in typologically diverse languages.
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### News 🎉
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**February, 2023**: The DivEMT dataset now contains linguistic annotations (`*_annotations` fields) computed with Stanza and word-level quality estimation tags (`src_wmt22_qe`, `mt_wmt22_qe`) obtained using the same scripts adopted for the WMT22 QE Task 2.
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### Languages
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The language data of DivEMT is in English (BCP-47 `en`), Italian (BCP-47 `it`), Dutch (BCP-47 `nl`), Arabic (BCP-47 `ar`), Turkish (BCP-47 `tr`), Ukrainian (BCP-47 `uk`) and Vietnamese (BCP-47 `vi`)
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