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Multi-domain Machine Translation Enhancements by Parallel Data Extraction from Comparable Corpora by Wołk, Krzysztof; Rejmund, Emilia; Marasek, Krzysztof is a scholarly article available to read on EtoBox.

What is Multi-domain Machine Translation Enhancements by Parallel Data Extraction from Comparable Corpora about?

Parallel texts are a relatively rare language resource, however, they constitute a very useful research material with a wide range of applications. This study presents and analyses new methodologies we developed for obtaining such data from previously built comparable corpora. The methodologies are automatic and unsupervised which makes them good for large scale research. The task is highly practical as non-parallel multilingual data occur much more frequently than parallel corpora and accessing them is easy, although parallel sentences are a considerably more useful resource. In this study, we propose a method of automatic web crawling in order to build topic-aligned comparable corpora, e.g. based on the Wikipedia or Euronews.com. We also developed new methods of obtaining parallel sentences from comparable data and proposed methods of filtration of corpora capable of selecting inconsistent or only partially equivalent translations. Our methods are easily scalable to other languages. Evaluation of the quality of the created corpora was performed by analysing the impact of their use on statistical machine translation systems. Experiments were presented on the basis of the Polish-En

Author

Wołk, Krzysztof; Rejmund, Emilia; Marasek, Krzysztof

Published

2016

Language

EN