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Article · November 7, 2016
Automated Implementation Process of Machine Translation System for Related Languages
Jernej Vičič, Petr Homola, Vladislav Kuboň
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.
Natural Language Processing TechniquesTranslation Studies and PracticesSpeech and dialogue systemsmachine translationrule-based machine translationSlovene language
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