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2015-klyueva-m4576197521716106318.pdf
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🔗 Source: ufal.mff.cuni.cz
📊 Size: 112 KB
📄 Pages: 5 pages
⬇️ Downloads: 164

Summary

Researchers analyzed multiword expression (MWE) translation errors in Statistical Machine Translation (SMT) using the Moses SMT toolkit for French-English and Czech-Russian language pairs. They built baseline models without MWE data and models enhanced with MWE information, testing three methods for introducing MWE data for French-English and one method for Czech-Russian. The study aimed to explore how SMT systems cope with MWE translation in different languages, focusing on noun multiword expressions, auxiliary multiword expressions, light verb constructions, and idioms. The results showed that MWEs have a better chance of being handled properly within SMT than within Rule-Based MT if explicit modeling of MWE is integrated into systems.

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Researchers analyzed multiword expression (MWE) translation errors in Statistical Machine Translation (SMT) using the Moses SMT toolkit for French-English and...

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  • File Format: PDF
  • File Size: 112 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 164
  • Last Updated: 4 hours ago

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