Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions

August 23, 2019

Abstract

Following the WMT 2018 Shared Task on Parallel Corpus Filtering (Koehn et al., 2018), we posed the challenge of assigning sentencelevel quality scores for very noisy corpora of sentence pairs crawled from the web, with the goal of sub-selecting 2% and 10% of the highest-quality data to be used to train machine translation systems. This year, the task tackled the low resource condition of Nepali– English and Sinhala–English. Eleven participants from companies, national research labs, and universities participated in this task.

Download the Paper

AUTHORS

Written by

Vishrav Chaudhary

Juan Pino

Paco Guzmán

Philipp Koehn

Publisher

WMT ACL

Research Topics

Speech & Audio

Natural Language Processing (NLP)

Related Publications

May 14, 2025

RESEARCH

CORE MACHINE LEARNING

UMA: A Family of Universal Models for Atoms

Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Ammar Rizvi, Sushree Jagriti Sahoo, Zachary W. Ulissi, C. Lawrence Zitnick

May 14, 2025

Read the Paper

May 14, 2025

HUMAN & MACHINE INTELLIGENCE

SPEECH & AUDIO

Emergence of Language in the Developing Brain

Linnea Evanson, Christine Bulteau, Mathilde Chipaux, Georg Dorfmüller, Sarah Ferrand-Sorbets, Emmanuel Raffo, Sarah Rosenberg, Pierre Bourdillon, Jean Remi King

May 14, 2025

Read the Paper

May 13, 2025

HUMAN & MACHINE INTELLIGENCE

RESEARCH

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI

Marlène Careil, Yohann Benchetrit, Jean-Rémi King

May 13, 2025

Read the Paper

April 25, 2025

RESEARCH

NLP

ReasonIR: Training Retrievers for Reasoning Tasks

Rulin Shao, Qiao Rui, Varsha Kishore, Niklas Muennighoff, Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Scott Yih, Pang Wei Koh, Luke Zettlemoyer