Datasets › APE

APE (Automatic Post-Editing)

Introduced by António Góis et al. in Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings archive 2025-07-28

APE is useful to evaluate Machine Translation automatic post-editing (APE), which is the task of improving the output of a blackbox MT system by automatically fixing its mistakes. The act of post-editing text can be fully specified as a sequence of delete and insert actions in given positions.

Source: https://github.com/antoniogois/keystrokes_ape Image Source: Gois et al

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • APE

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections