Update README.md to include ISO code for Ge'ez
Browse filesSource
Wiki: https://en.wikipedia.org/wiki/Ge%CA%BDez
README.md
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@@ -5,6 +5,7 @@ task_categories:
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language:
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- am
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- en
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size_categories:
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- 10K<n<100K
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---
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@@ -84,5 +85,4 @@ If you use this dataset, please cite our paper:
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pages = "139--145",
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abstract = "African languages are not well-represented in Natural Language Processing (NLP). The main reason is a lack of resources for training models. Low-resource languages, such as Amharic and Ge{'}ez, cannot benefit from modern NLP methods because of the lack of high-quality datasets. This paper presents AGE, an open-source tripartite alignment of Amharic, Ge{'}ez, and English parallel dataset. Additionally, we introduced a novel, 1,000 Ge{'}ez-centered sentences sourced from areas such as news and novels. Furthermore, we developed a model from a multilingual pre-trained language model, which brings 12.29 and 30.66 for English-Ge{'}ez and Ge{'}ez to English, respectively, and 9.39 and 12.29 for Amharic-Ge{'}ez and Ge{'}ez-Amharic respectively.",
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}
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```
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language:
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- am
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- en
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- gez
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size_categories:
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- 10K<n<100K
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---
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pages = "139--145",
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abstract = "African languages are not well-represented in Natural Language Processing (NLP). The main reason is a lack of resources for training models. Low-resource languages, such as Amharic and Ge{'}ez, cannot benefit from modern NLP methods because of the lack of high-quality datasets. This paper presents AGE, an open-source tripartite alignment of Amharic, Ge{'}ez, and English parallel dataset. Additionally, we introduced a novel, 1,000 Ge{'}ez-centered sentences sourced from areas such as news and novels. Furthermore, we developed a model from a multilingual pre-trained language model, which brings 12.29 and 30.66 for English-Ge{'}ez and Ge{'}ez to English, respectively, and 9.39 and 12.29 for Amharic-Ge{'}ez and Ge{'}ez-Amharic respectively.",
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}
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```
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