Bui Thanh Hung

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This paper presents an approach to select appropriate translation rules to improve phrase-reordering of tree-based statistical machine translation. We propose new features with rich linguistic and contextual information. We give a new algorithm to extract features, use maximum entropy to combine rich linguistic and contextual information and integrate these(More)
Translating legal text is generally considered to be difficult because legal text has some characteristics that make it different from other daily-use documents and legal text is usually long and complicated. In order boost the legal text translation quality, splitting an input sentence becomes mandatory. In this paper, we propose a novel method based on(More)
A legal text usually long and complicated, it has some characteristic that make it different from other dailyuse texts.Then, translating a legal text is generally considered to be difficult. This paper introduces an approach to split a legal sentence based on its logical structure and presents selecting appropriate translation rules to improve phrase(More)
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