Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet

Open Access
Authors
  • T. Kocmi
  • E. Avramidis
  • R. Bawden
  • O. Bojar
  • A. Dvorkovich
  • C. Federmann
  • M. Fishel
  • M. Freitag
  • T. Gowda
  • R. Grundkiewicz
  • B. Haddow
  • M. Karpinska
  • P. Koehn
  • B. Marie
  • C. Monz
  • K. Murray
  • M. Nagata
  • M. Popel
  • M. Popović
  • M. Shmatova
  • S. Steingrímsson
  • V. Zouhar
Publication date 2024
Host editors
  • B. Haddow
  • T. Kocmi
  • P. Koehn
  • C. Monz
Book title Ninth Conference on Machine Translation : Proceedings of the Conference
Book subtitle WMT 2024 : November 15-16, 2024
ISBN (electronic)
  • 9798891761797
Event 9th Conference on Machine Translation
Pages (from-to) 1–46
Publisher Kerrville, TX: Association for Computational Linguistics
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
This overview paper presents the results of the General Machine Translation Task organised as part of the 2024 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of three to five different domains. In addition to participating systems, we collected translations from 8 different large language models (LLMs) and 4 online translation providers. We evaluate system outputs with professional human annotators using a new protocol called Error Span Annotations (ESA).
Document type Conference contribution
Language English
Published at https://doi.org/10.18653/v1/2024.wmt-1.1
Downloads
2024.wmt-1.1 (Final published version)
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