《红楼梦》可谓中国文学历史上最为伟大的小说。当代红楼翻译更是一番摸索中的天地。众所周知,杨宪益,戴乃迭之A Dream of Red Mansions与David·Hawkes之The Story of the Stone均是当代认可度较高,流传较为广泛的译本。而对其高...《红楼梦》可谓中国文学历史上最为伟大的小说。当代红楼翻译更是一番摸索中的天地。众所周知,杨宪益,戴乃迭之A Dream of Red Mansions与David·Hawkes之The Story of the Stone均是当代认可度较高,流传较为广泛的译本。而对其高下差别,众说纷纭。此文将简略阐述《红楼梦》中多处巧译典范,尤以成语翻译为例,以呈现中英语言可译的多样性。展开更多
Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word a...Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.展开更多
文摘《红楼梦》可谓中国文学历史上最为伟大的小说。当代红楼翻译更是一番摸索中的天地。众所周知,杨宪益,戴乃迭之A Dream of Red Mansions与David·Hawkes之The Story of the Stone均是当代认可度较高,流传较为广泛的译本。而对其高下差别,众说纷纭。此文将简略阐述《红楼梦》中多处巧译典范,尤以成语翻译为例,以呈现中英语言可译的多样性。
基金supported by the National Natural Science Foundation of China（No.61303082） the Research Fund for the Doctoral Program of Higher Education of China（No.20120121120046）
文摘Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.
