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--- |
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title: TER |
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emoji: 🤗 |
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colorFrom: blue |
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colorTo: red |
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sdk: gradio |
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sdk_version: 3.19.1 |
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app_file: app.py |
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pinned: false |
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tags: |
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- evaluate |
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- metric |
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description: >- |
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TER (Translation Edit Rate, also called Translation Error Rate) is a metric to |
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quantify the edit operations that a hypothesis requires to match a reference |
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translation. We use the implementation that is already present in sacrebleu |
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(https://github.com/mjpost/sacreBLEU#ter), which in turn is inspired by the |
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TERCOM implementation, which can be found here: |
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https://github.com/jhclark/tercom. |
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The implementation here is slightly different from sacrebleu in terms of the |
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required input format. The length of the references and hypotheses lists need |
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to be the same, so you may need to transpose your references compared to |
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sacrebleu's required input format. See |
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https://github.com/huggingface/datasets/issues/3154#issuecomment-950746534 |
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See the README.md file at https://github.com/mjpost/sacreBLEU#ter for more |
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information. |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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