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Greatest papers with code

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

Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation

WS 2017 chrishokamp/constrained_decoding

This work presents a novel approach to Automatic Post-Editing (APE) and Word-Level Quality Estimation (QE) using ensembles of specialized Neural Machine Translation (NMT) systems.

AUTOMATIC POST-EDITING MACHINE TRANSLATION

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

ACL 2019 deep-spin/OpenNMT-APE

Automatic post-editing (APE) seeks to automatically refine the output of a black-box machine translation (MT) system through human post-edits.

AUTOMATIC POST-EDITING MACHINE TRANSLATION TRANSFER LEARNING

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

14 Jun 2019deep-spin/OpenNMT-APE

Automatic post-editing (APE) seeks to automatically refine the output of a black-box machine translation (MT) system through human post-edits.

AUTOMATIC POST-EDITING MACHINE TRANSLATION TRANSFER LEARNING

Can Automatic Post-Editing Improve NMT?

EMNLP 2020 shamilcm/pedra

To ascertain our hypothesis, we compile a larger corpus of human post-edits of English to German NMT.

AUTOMATIC POST-EDITING MACHINE TRANSLATION

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

9 Oct 2020sheffieldnlp/mlqe-pe

We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE).

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