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Automatic Post-Editing

6 papers with code · Computer Vision

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Levenshtein Transformer

NeurIPS 2019 pytorch/fairseq

We further confirm the flexibility of our model by showing a Levenshtein Transformer trained by machine translation can straightforwardly be used for automatic post-editing.

AUTOMATIC POST-EDITING MACHINE TRANSLATION TEXT SUMMARIZATION

Learning to Copy for Automatic Post-Editing

IJCNLP 2019 THUNLP-MT/THUMT

To better identify translation errors, our method learns the representations of source sentences and system outputs in an interactive way.

AUTOMATIC POST-EDITING MACHINE TRANSLATION

Deep Copycat Networks for Text-to-Text Generation

IJCNLP 2019 ImperialNLP/CopyCat

Most text-to-text generation tasks, for example text summarisation and text simplification, require copying words from the input to the output.

AUTOMATIC POST-EDITING MACHINE TRANSLATION TEXT GENERATION TEXT SIMPLIFICATION

Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach

EMNLP 2018 trangvu/ape-npi

Automated Post-Editing (PE) is the task of automatically correct common and repetitive errors found in machine translation (MT) output.

AUTOMATIC POST-EDITING MACHINE TRANSLATION