Findings of WMT2024 English-to-Low Resource Multimodal Translation Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492893" target="_blank" >RIV/00216208:11320/24:10492893 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.wmt-1.56/" target="_blank" >https://aclanthology.org/2024.wmt-1.56/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Findings of WMT2024 English-to-Low Resource Multimodal Translation Task
Original language description
This paper presents the results of the English-to-Low Resource Multimodal Translation shared tasks from the Ninth Conference on Machine Translation (WMT2024). This year, 7 teams submitted their translation results for the automatic and human evaluation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Ninth Conference on Machine Translation
ISBN
979-8-89176-179-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
677-683
Publisher name
Association for Computational Linguistics
Place of publication
Kerrville, TX, USA
Event location
Miami, FL, USA
Event date
Nov 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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