Sheffield Submissions for the WMT18 Quality Estimation Shared Task

Autor:	Lucia Specia, Carolina Scarton, Julia Ive, Frédéric Blain
Rok vydání:	2018
Předmět:	Estimation business.industry Computer science media_common.quotation_subject Quality (business) Artificial intelligence business Machine learning computer.software_genre Baseline (configuration management) computer media_common Task (project management)
Zdroj:	WMT (shared task)
DOI:	10.18653/v1/w18-6463
Popis:	In this paper we present the University of Sheffield submissions for the WMT18 Quality Estimation shared task. We discuss our submissions to all four sub-tasks, where ours is the only team to participate in all language pairs and variations (37 combinations). Our systems show competitive results and outperform the baseline in nearly all cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::943d042833cd4260c362d98a2fc53589 https://doi.org/10.18653/v1/w18-6463 Zobrazit plný text záznamu