A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405600" target="_blank" >RIV/00216208:11320/19:10405600 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt19/papers.html" target="_blank" >http://www.statmt.org/wmt19/papers.html</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
Original language description
As the quality of machine translation rises and neural machine translation (NMT) is moving from sentence to document level translations, it is becoming increasingly difficult to evaluate the output of translation systems. We provide a test suite for WMT19 aimed at assessing discourse phenomena of MT systems participating in the News Translation Task. We have manually checked the outputs and identified types of translation errors that are relevant to document-level translation.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fourth Conference on Machine Translation - Proceedings of the Conference
ISBN
978-1-950737-27-7
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
455-463
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Firenze, Italy
Event date
Aug 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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