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Greatest papers with code

Felix: Flexible Text Editing Through Tagging and Insertion

24 Mar 2020google-research/google-research

We achieve this by decomposing the text-editing task into two sub-tasks: tagging to decide on the subset of input tokens and their order in the output text and insertion to in-fill the missing tokens in the output not present in the input.

AUTOMATIC POST-EDITING LANGUAGE MODELLING SENTENCE FUSION TEXT SIMPLIFICATION

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 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

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

21 Apr 2017ufal/neuralmonkey

Modeling attention in neural multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its usefulness in tasks that incorporate multiple source languages or modalities.

AUTOMATIC POST-EDITING

Context-Aware Monolingual Repair for Neural Machine Translation

IJCNLP 2019 lena-voita/good-translation-wrong-in-context

For training, the DocRepair model requires only monolingual document-level data in the target language.

AUTOMATIC POST-EDITING DOCUMENT-LEVEL

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

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 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 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