This paper presents a new method for lexical paraphrasing.The method first constructs a paraphrase corpus by automatically translating a bilingual parallel corpus into a monolingual parallel corpus

from which candidate paraphrases for words are extracted.After that

a new statistical model is proposed for lexical paraphrasing

which selects the best paraphrase for a word in a given context sentence.Experimental results show that the automatically constructed paraphrase corpus is effective for lexical paraphrasing.In addition

the presented paraphrasing model significantly outperforms two conventional models

enhancing precision and recall by about 10%

respectively.