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> <p> </p> 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