CUNI System for the WMT18 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%2F18%3A10390155" target="_blank" >RIV/00216208:11320/18:10390155 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt18/pdf/WMT068.pdf" target="_blank" >http://www.statmt.org/wmt18/pdf/WMT068.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CUNI System for the WMT18 Multimodal Translation Task
Original language description
We present our submission to the WMT18 Multimodal Translation Task. The main feature of our submission is applying a self-attentive network instead of a recurrent neural network. We evaluate two methods of incorporating the visual features in the model: first, we include the image representation as another input to the network; second, we train the model to predict the visual features and use it as an auxiliary objective. For our submission, we acquired both textual and multimodal additional data. Both of the proposed methods yield significant improvements over recurrent networks and self-attentive textual baselines.
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
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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 Third Conference on Machine Translation, Volume 2: Shared Tasks
ISBN
978-1-948087-81-0
ISSN
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e-ISSN
neuvedeno
Number of pages
8
Pages from-to
622-629
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Bruxelles, Belgium
Event date
Oct 31, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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