Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation

22 May 2020

Papers citing "Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation"

8 / 8 papers shown

Title
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models Fernando Vallecillos Ruiz Anastasiia Grishina Max Hort Leon Moonen LRM 42 4 0 15 Jan 2024
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension Sweta Agrawal Marine Carpuat 19 7 0 15 Dec 2023
Improving Automated Program Repair with Domain Adaptation Armin Zirak Hadi Hemmati 16 9 0 21 Dec 2022
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition Shengfei Lyu Xingyu Wu Jinlong Li Qiuju Chen Huanhuan Chen 24 5 0 19 May 2021
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification Wilson Fearn Orion Weller Kevin Seppi AIMat 110 0 0 08 Apr 2021
Understanding Pre-Editing for Black-Box Neural Machine Translation Rei Miyata Atsushi Fujita 17 14 0 05 Feb 2021
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation Wenxiang Jiao Xing Wang Shilin He Irwin King Michael R. Lyu Zhaopeng Tu 18 26 0 06 Oct 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016