wloka_winiwarter.pdf
Bartholomäus Wloka
Werner Winiwarter
10.6084/m9.figshare.99382.v1
https://figshare.com/articles/journal_contribution/wloka_winiwarter_pdf/99382
<p>We present a method for improving existing statistical machine trans-<br>lation methods using a knowledge base compiled from a bilingual corpus as well<br>as sequence alignment and pattern matching techniques from the area of machine<br>learning and bioinformatics. An alignment algorithm identifies similar sentences,<br>which are then used to construct a better word order for the translation. Our pre-<br>liminary test results indicate a significant improvement of the translation quality.</p>
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2012-11-29 10:06:11
Natural Language Processing
Statistical Machine Translation
Hybrid Machine Translation
Language Learning
Mobile Learning
Pervasive Learning
Ubiquitous Learning
Applied Computer Science