/dialect_eval

Official code for "A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography"

Primary LanguagePython

Official resources for "A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography"

This repository contains the code and additional resources for the paper "A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography" presented at WMT 2023.

In the evaluation directory, you can find:

  • the Swiss German translations of NTREX-128
  • the systems translations and the human ratings
  • the challenge set
  • the code to evaluate metrics on our test sets.

In the training directory, you can find the code for training the neural metrics evaluated in the paper.

Installation

We provide a fork of the mtm-metrics-eval repository. Run the following commands to clone it before you follow instructions in the evaluation directory.

git submodule init
git submodule update

Citation

If you use our code, data or models, please cite our paper:

@inproceedings{aepli-etal-2023-benchmark,
    title = "A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography",
    author = {Aepli, No{\"e}mi  and
    Amrhein, Chantal  and
    Schottmann, Florian  and
    Sennrich, Rico},
    editor = "Koehn, Philipp  and
    Haddon, Barry  and
    Kocmi, Tom  and
    Monz, Christof",
    booktitle = "Proceedings of the Eighth Conference on Machine Translation",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.wmt-1.99",
    pages = "1045--1065"
}