Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder
Translation Models

Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models

31 March 2021

Marco Dinarelli

Laurent Besacier

Papers citing "Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models"

7 / 7 papers shown

Title
Investigating Length Issues in Document-level Machine Translation Ziqian Peng Rachel Bawden François Yvon 69 1 0 23 Dec 2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation Ming-Ru Wu Yufei Wang George F. Foster Lizhen Qu Gholamreza Haffari 35 6 0 27 Jan 2024
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation Juan Pablo Zuluaga Zhaocheng Huang Xing Niu Rohit Paturi S. Srinivasan Prashant Mathur Brian Thompson Marcello Federico BDL 29 2 0 01 Nov 2023
Challenges in Context-Aware Neural Machine Translation Linghao Jin Jacqueline He Jonathan May Xuezhe Ma 38 7 0 23 May 2023
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation Lorenzo Lupo Marco Dinarelli Laurent Besacier 31 9 0 13 Feb 2023
Focused Concatenation for Context-Aware Neural Machine Translation Lorenzo Lupo Marco Dinarelli Laurent Besacier 19 8 0 24 Oct 2022
Diving Deep into Context-Aware Neural Machine Translation Jingjing Huo Christian Herold Yingbo Gao Leonard Dahlmann Shahram Khadivi Hermann Ney 79 23 0 19 Oct 2020