Corpus ID: 63849530

Aligning the foundations of hierarchical statistical machine translation

@inproceedings{Wenniger2016AligningTF,
  title={Aligning the foundations of hierarchical statistical machine translation},
  author={Gideon Maillette de Buy Wenniger},
  year={2016}
}
  • Gideon Maillette de Buy Wenniger
  • Published 2016
  • Computer Science
  • Statistical machine translation (SMT) plays an important role in the automatic translation of the large and increasing volume of documents that has become globally available. The results of SMT are often still lacking in various aspects including word order. This thesis focuses on the improvement of hierarchical SMT, in particular Hiero. Hiero rules lack nonterminal labels. This gives them little context and makes their combination into full translations poorly coordinated, and strongly… CONTINUE READING

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