holylovenia
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README.md
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Analogous to the En ↔ Id and Su ↔ Id datasets, we create a new dataset for Javanese and Indonesian translation generated from the verse-aligned Bible parallel corpus with the same split setting. In terms of size, both the Su ↔ Id and Jv ↔ Id datasets are much smaller compared to the En ↔ Id dataset, because there are Bible chapters for which translations are available for Indonesian, albeit not for the local languages.
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## Dataset Usage
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## Citation
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title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation",
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author = "Cahyawijaya, Samuel and
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Winata, Genta Indra and
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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# bible_jv_id
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Analogous to the En ↔ Id and Su ↔ Id datasets, we create a new dataset for Javanese and Indonesian translation generated from the verse-aligned Bible parallel corpus with the same split setting. In terms of size, both the Su ↔ Id and Jv ↔ Id datasets are much smaller compared to the En ↔ Id dataset, because there are Bible chapters for which translations are available for Indonesian, albeit not for the local languages.
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## Dataset Usage
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## Citation
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```
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@inproceedings{cahyawijaya-etal-2021-indonlg,
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title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation",
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author = "Cahyawijaya, Samuel and
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Winata, Genta Indra and
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## Homepage
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[https://github.com/IndoNLP/indonlg](https://github.com/IndoNLP/indonlg)
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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