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Automated implementation process of machine translation system for related languages

Publication at Faculty of Mathematics and Physics |
2016

Abstract

The paper presents an attempt to automate all data creation processes of a rule-based shallow-transfer machine translation system. The presented methods were tested on four fully functional translation systems covering language pairs: Slovenian paired with Serbian, Czech, English and Estonian language.

An extensive range of evaluation tests was performed to assess the applicability of the methods.