Abstract
Machine translation is getting more and more used. By a contrast analysis of 188 pieces of English headlines of online news of science and technology from the website of New York Times and its Chinese counters from the website of Huanqiu, this paper summarizes the problems of machine translation of headlines of online news of science and technology. The problems are fuzzy expression, semantic exaggeration, semantic narrowing, misusing idioms, abusing foreign language and guiding the readers to get vulgar information. The translators should improve the versions by machine translation. This paper presents four optimization strategies of machine translation of headlines of online scientific news: changing complexity to brief, using appropriate rhetoric devices, use opportunely punctuations and using the idioms familiar to readers.
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