Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine
Translation

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation

7 May 2020

Jingbo Zhu

Papers citing "Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation"

9 / 9 papers shown

Title
Promoting Target Data in Context-aware Neural Machine Translation Harritxu Gete Thierry Etchegoyhen 24 1 0 09 Feb 2024
On Measuring Context Utilization in Document-Level MT Systems Wafaa Mohammed Vlad Niculae 13 3 0 02 Feb 2024
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation Ramakrishna Appicharla Baban Gain Santanu Pal Asif Ekbal 27 1 0 11 Aug 2023
Challenges in Context-Aware Neural Machine Translation Linghao Jin Jacqueline He Jonathan May Xuezhe Ma 38 7 0 23 May 2023
Text revision in Scientific Writing Assistance: An Overview Léane Jourdan Florian Boudin Richard Dufour Nicolas Hernandez 34 5 0 29 Mar 2023
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation Suvodeep Majumde Stanislas Lauly Maria Nadejde Marcello Federico Georgiana Dinu 30 13 0 19 Oct 2022
Assemble Foundation Models for Automatic Code Summarization Jian Gu P. Salza H. Gall 28 34 0 13 Jan 2022
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information Yong-keun Hwang Hyungu Yun Kyomin Jung 25 11 0 13 Sep 2021
Rethinking Document-level Neural Machine Translation Zewei Sun Mingxuan Wang Hao Zhou Chengqi Zhao Shujian Huang Jiajun Chen Lei Li VLM 80 47 0 18 Oct 2020