Work

Findings of the 2013 Workshop on Statistical Machine Translation

Year: 2013

Type: conference-paper

Abstract: This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task. This year, 143 machine translation systems from 23 institutions were submitted to the ten translation directions in the standard translation task. An additional 6 anonymized systems were included, and were then evaluated both automatically and manually. The quality estimation task had four subtasks, with a total of 10 teams, submitting 57 entries

Source: UvA-DARE (University of Amsterdam)

Authors: Ondřej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia

Institutions: Charles University, University of Edinburgh, University of Pennsylvania, German Research Centre for Artificial Intelligence, University of Amsterdam, Johns Hopkins University, University of Sheffield

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2270190199

FWCI: 36.86

Cites: 87

Cited by: 236

Related to: 20