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Found 6 papers, 1 papers with code
POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model
This paper describes POSTECH-ETRI’s submission to WMT2020 for the shared task on automatic post-editing (APE) for 2 language pairs: English-German (En-De) and English-Chinese (En-Zh).
Noising Scheme for Data Augmentation in Automatic Post-Editing
In our experiment, we implemented a noising module that simulates four types of post-editing errors, and we introduced this module into a Transformer-based multi-source APE model.
Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information
Moreover, in an attempt to improve the model architecture of previous studies, we replace LSTM with Transformer.
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation
Automatic Post-Editing (APE) aims to correct errors in the output of a given machine translation (MT) system.
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder
This paper describes POSTECH{'}s submission to the WMT 2019 shared task on Automatic Post-Editing (APE).
Multi-encoder Transformer Network for Automatic Post-Editing
This paper describes the POSTECH{'}s submission to the WMT 2018 shared task on Automatic Post-Editing (APE).
