Knowledge Expansion of a Statistical Machine Translation System using Morphological Resources
Translation capability of a Phrase-Based Statistical Machine Translation (PBSMT) system mostly depends on parallel data and phrases that are not present in the training data are not correctly translated. This paper describes a method that efficiently expands the existing knowledge of a PBSMT system...
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| Veröffentlicht in: | Polibits |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Instituto Politécnico Nacional
2011
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=402640456005 |
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