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README.md
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title:
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sdk:
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sdk_version:
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app_file: app.py
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pinned: false
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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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title: TER
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emoji: 🤗
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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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