Code for the paper "Balancing Training for Multilingual Neural Machine Translation, ACL 2020"

Related tags

Deep LearningmultiDDS
Overview

Balancing Training for Multilingual Neural Machine Translation

Implementation of the paper

Balancing Training for Multilingual Neural Machine Translation

Xinyi Wang, Yulia Tsvetkov, Graham Neubig

Data:

The preprocessed and binarized data for fairseq can be downloaded here

To process data from scrach, see the script

util_scripts/prepare_multilingual_data.sh

Training Scripts:

The training scripts for many-to-one translation of the related language group (Related M2O) is under the directory job_scripts/related_ted8_m2o/.

Our methods:

MultiDDS-S:

job_scripts/related_ted8_m2o/multidds_s.sh 

MultiDDS:

job_scripts/related_ted8_m2o/multidds.sh 

Baselines:

Proportional:

job_scripts/related_ted8_m2o/proportional.sh 

Temperature:

job_scripts/related_ted8_m2o/temperature.sh 

The scripts for Related O2M is under the directory job_scripts/related_ted8_o2m/

The scripts for Diverse M2O is under the directory job_scripts/diverse_ted8_m2o/

The scripts for Diverse O2M is under the directory job_scripts/diverse_ted8_o2m/

Inference Scripts:

Each of the experiment script directory contains a trans.sh file to translate the test set. To translate the test set for the Related M2O MultiDDS-S

job_scripts/related_ted8_m2o/trans.sh checkpoints/related_ted8_m2o/multidds_s/ 

To translate other experiment, simply replace the argument with the experiment checkpoint directory.

Citation

Please cite as:

@inproceedings{wang2020multiDDS,
  title = {Balancing Training for Multilingual Neural Machine Translation},
  author = {Xinyi Wang, Yulia Tsvetkov, Graham Neubig},
  booktitle = {ACL},
  year = {2020},
}
Owner
Xinyi Wang
Xinyi Wang
Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

LDL Paper | Supplementary Material Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution Jie Liang*, Hu

150 Dec 26, 2022
Bytedance Inc. 2.5k Jan 06, 2023
Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

Caleb Ellington 1 Sep 23, 2022
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues

RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues FGBG (foreground-background) pytorch package for defining and training model

Klaas Kelchtermans 1 Jun 02, 2022
A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2020 Links Doc

Sebastian Raschka 4.2k Jan 02, 2023
Tracking Pipeline helps you to solve the tracking problem more easily

Tracking_Pipeline Tracking_Pipeline helps you to solve the tracking problem more easily I integrate detection algorithms like: Yolov5, Yolov4, YoloX,

VNOpenAI 32 Dec 21, 2022
An LSTM based GAN for Human motion synthesis

GAN-motion-Prediction An LSTM based GAN for motion synthesis has a few issues reading H3.6M data from A.Jain et al , will fix soon. Prediction of the

Amogh Adishesha 9 Jun 17, 2022
Local Multi-Head Channel Self-Attention for FER2013

LHC-Net Local Multi-Head Channel Self-Attention This repository is intended to provide a quick implementation of the LHC-Net and to replicate the resu

12 Jan 04, 2023
Ros2-voiceroid2 - ROS2 wrapper package of VOICEROID2

ros2_voiceroid2 ROS2 wrapper package of VOICEROID2 Windows Only Installation Ins

Nkyoku 1 Jan 23, 2022
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20

Reducing Underflow in Mixed Precision Training by Gradient Scaling This project implements the gradient scaling method to improve the performance of m

Ruizhe Zhao 5 Apr 14, 2022
2021 National Underwater Robotics Vision Optics

2021-National-Underwater-Robotics-Vision-Optics 2021年全国水下机器人算法大赛-光学赛道-B榜精度第18名 (Kilian_Di的团队:A榜[email pro

Di Chang 9 Nov 04, 2022
UltraGCN: An Ultra Simplification of Graph Convolutional Networks for Recommendation

UltraGCN This is our Pytorch implementation for our CIKM 2021 paper: Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. UltraGCN: A

XUEPAI 93 Jan 03, 2023
Faster Convex Lipschitz Regression

Faster Convex Lipschitz Regression This reepository provides a python implementation of our Faster Convex Lipschitz Regression algorithm with GPU and

Ali Siahkamari 0 Nov 19, 2021
Content shared at DS-OX Meetup

Streamlit-Projects Streamlit projects available in this repo: An introduction to Streamlit presented at DS-OX (Feb 26, 2020) meetup Streamlit 101 - Ja

Arvindra 69 Dec 23, 2022
pytorch implementation of GPV-Pose

GPV-Pose Pytorch implementation of GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. (link) UPDATE A new version

40 Dec 01, 2022
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

DHF1K =========================================================================== Wenguan Wang, J. Shen, M.-M Cheng and A. Borji, Revisiting Video Sal

Wenguan Wang 126 Dec 03, 2022
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

Head Detector Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd. The head_detection mod

Ramana Sundararaman 76 Dec 06, 2022
Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.

numbalsoda numbalsoda is a python wrapper to the LSODA method in ODEPACK, which is for solving ordinary differential equation initial value problems.

Nick Wogan 52 Jan 09, 2023
An educational tool to introduce AI planning concepts using mobile manipulator robots.

JEDAI Explains Decision-Making AI Virtual Machine Image The recommended way of using JEDAI is to use pre-configured Virtual Machine image that is avai

Autonomous Agents and Intelligent Robots 13 Nov 15, 2022