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