Application of Translation Corresponding Tree (TCT) Annotation Schema for Chinese to Portuguese Machine Translation

摘要

In order to resolve the weakness of the Structure Based EBMT system and linguistic problems between Chinese and Portuguese, Tang and Wong propose a new Portuguese to Chinese Machine Translation method and this method is based on a novel technology called Translation Corresponding Tree (TCT) which is an example based knowledge annotation method for Portuguese to Chinese translation. In this paper, it adopts the TCT annotation scheme and introduces the knowledge based construction and translation for Chinese to Portuguese MT. In this research, it also proposes a conversion algorithm to reuse the existing translation knowledge of Portuguese to Chinese MT system, which represented in terms of TCT trees. Based on the transformation algorithm, the knowledge trees of Portuguese to Chinese translation are converted into that of the translation knowledge which can be used to facilitate the Chinese to Portuguese. Based on the research result of this paper, a Chinese to Portuguese prototyping machine translation system is implemented and the empirical results show that the MT system can achieve the translation accuracy of 80% in the domain of Macau Law statements.