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Conference Paper 지식 학습 기반의 다국어 형태소 및 구문분석
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Authors
김창현, 김영길
Issue Date
2013-07
Citation
대한전자공학회 종합 학술 대회 (하계) 2013, pp.1858-1861
Publisher
대한전자공학회
Language
Korean
Type
Conference Paper
Abstract
In this paper, we discuss about the design and implementation of our morphological and syntactic analyzer for multilingual machine translation. Statistical machine translation(Google adopts for their system) is good at multilingual support, but poor at controllability. Rule/pattern based machine translation is good at controllability, but poor at multilingual support. We design our machine translation systems to support both multilingual requirement and at the same time controllability to the translation process.
KSP Keywords
Machine Translation(MT), Multilingual Support, Statistical Machine Translation, Translation process, design and implementation