EvalD Reference-Less Discourse Evaluation for WMT18

Ondřej Bojar, Jiří Mírovský, Kateřina Rysová, Magdaléna Rysová


Abstract
We present the results of automatic evaluation of discourse in machine translation (MT) outputs using the EVALD tool. EVALD was originally designed and trained to assess the quality of human writing, for native speakers and foreign-language learners. MT has seen a tremendous leap in translation quality at the level of sentences and it is thus interesting to see if the human-level evaluation is becoming relevant.
Anthology ID:
W18-6432
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
541–545
Language:
URL:
https://www.aclweb.org/anthology/W18-6432
DOI:
10.18653/v1/W18-6432
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6432.pdf