The Helsinki Neural Machine Translation System
Year: 2017
Type: preprint
Abstract: We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English--Finnish. We discuss the success of English--Finnish translations and the overall advantage of NMT over a strong SMT baseline. We also discuss our submissions for English--Latvian, English--Chinese and Chinese--English.
Source: arXiv (Cornell University)
Institutions: Stockholm University, University of Helsinki, Uppsala University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: Nvidia, China Scholarship Council
OpenAlex ID: W2951383440
