Results of the WMT17 Metrics Shared Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372140" target="_blank" >RIV/00216208:11320/17:10372140 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt17/pdf/WMT55.pdf" target="_blank" >http://www.statmt.org/wmt17/pdf/WMT55.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Results of the WMT17 Metrics Shared Task
Original language description
This paper presents the results of the WMT17 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT17 news translation task and Neural MT training task. We collected scores of 14 metrics from 8 research groups. In addition to that, we computed scores of 7 standard metrics (BLEU, SentBLEU, NIST, WER, PER, TER and CDER) as baselines. The collected scores were evaluated in terms of system-level correlation (how well each metric's scores correlate with WMT17 official manual ranking of systems) and in terms of segment level correlation (how often a metric agrees with humans in judging the quality of a particular sentence). This year, we build upon two types of manual judgements: direct assessment (DA) and HUME manual semantic judgements.
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
2017
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 Second Conference on Machine Translation, Volume 2: Shared Task Papers
ISBN
978-1-945626-96-8
ISSN
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e-ISSN
neuvedeno
Number of pages
25
Pages from-to
489-513
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
København, Denmark
Event date
Sep 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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