README.md

metadata

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