| Download | - View accepted manuscript: Batch tuning strategies for statistical machine translation (PDF, 595 KiB)
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| Author | Search for: Cherry, Colin1; Search for: Foster, George1 |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | North American Chapter of the Association for Computational Linguistics: Human Language Technologies - (HLT-NAACL 2012), Montreal, QC, June 3-8, 2012 |
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| Abstract | There has been a proliferation of recent work on SMT tuning algorithms capable of handling larger feature sets than the traditional MERT approach. We analyze a number of these algorithms in terms of their sentence-level loss functions, which motivates several new approaches, including a Structured SVM. We perform empirical comparisons of eight different tuning strategies, including MERT, in a variety of settings. Among other results, we find that a simple and efficient batch version of MIRA performs at least as well as training online, and consistently outperforms other options. |
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| Publication date | 2012-06-08 |
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| Publisher | Association for Computational Linguistics |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 20262877 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 1101df04-9f92-4758-a257-3a8457183e06 |
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| Record created | 2012-07-10 |
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| Record modified | 2020-04-21 |
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