Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation

18 May 2021

Papers citing "Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation"

14 / 14 papers shown

Title
Large Language Models for Dysfluency Detection in Stuttered Speech Dominik Wagner Sebastian P. Bayerl Ilja Baumann Korbinian Riedhammer Elmar Nöth Tobias Bocklet 53 4 0 16 Jun 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL Zijin Hong Zheng Yuan Qinggang Zhang Hao Chen Junnan Dong Feiran Huang Xiao Huang 77 53 0 12 Jun 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation Yuqiao Wen Behzad Shayegh Chenyang Huang Yanshuai Cao Lili Mou 58 5 0 29 Feb 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding Yuu Jinnai Ukyo Honda Tetsuro Morimura Peinan Zhang 34 6 0 10 Jan 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model Christian Tomani David Vilar Markus Freitag Colin Cherry Subhajit Naskar Mara Finkelstein Xavier Garcia Daniel Cremers 26 7 0 10 Oct 2023
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 24 3 0 08 Dec 2022
CUNI Submission in WMT22 General Task Josef Jon Martin Popel Ondrej Bojar 9 6 0 29 Nov 2022
Quality-Aware Decoding for Neural Machine Translation Patrick Fernandes António Farinhas Ricardo Rei José G. C. de Souza Perez Ogayo Graham Neubig André F. T. Martins 43 57 0 02 May 2022
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics Markus Freitag David Grangier Qijun Tan Bowen Liang 33 92 0 17 Nov 2021
Why don't people use character-level machine translation? Jindrich Libovický Helmut Schmid Alexander Fraser 65 28 0 15 Oct 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation Bryan Eikema Wilker Aziz 28 45 0 10 Aug 2021
The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT Jörg Tiedemann 176 165 0 13 Oct 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,211 0 12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016