Language selection

Government of Canada / Gouvernement du Canada

Search

The trouble with SMT consistency

From National Research Council Canada

Download
  1. (PDF, 526 KiB)
AuthorSearch for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. Information and Communication Technologies
FormatText, Article
Conference7th Workshop on Statistical Machine Translation, June 7-8, 2012, Montreal, Quebec
Abstract
SMT typically models translation at the sentence level, ignoring wider document context. Does this hurt the consistency of translated documents? Using a phrase-based SMT system in various data conditions, we show that SMT translates documents remarkably consistently, even without document knowledge. Nevertheless, translation inconsistencies often indicate translation errors. However, unlike in human translation, these errors are rarely due to terminology inconsistency. They are more often symptoms of deeper issues with SMT models instead.
Publication date
In
  • Proceedings of the 7th Workshop on Statistical Machine Translation (8 June 2012): 442–449.
LanguageEnglish
Peer reviewedYes
NPARC number20794314
Export citationExport as RIS
Report a correctionReport a correction (opens in a new tab)
Record identifiera7b9f071-84b0-48c8-a215-312739ffe880
Record created2012-10-12
Record modified2020-04-21
Date modified: