1. A parameters adjustment method in a statistical machine translation, characterized in that, the method comprises the following steps: Step 1 : building a language model required for translation by utilizing a monolingual corpora; Step 2 : building a phrase translation model by utilizing a bilingual parallel corpus; Step 3 : Step 3 : processing parameters adjustment for λ m by utilizing an objective function min λ ∑ s = 1 n [ - Σ m = 1 M λ m h m ( e s , f s ) + log ∑ e ∈ C s exp { Σ m = 1 M λ m h m ( f s , e ′ ) + l ( e ′ , e s ) } ] , where e s refers to reference translation, e′ refers to machine translation, fs refers to sentence in source language awaiting for translation processing, h m (e s ,f s ) and h m (f s ,e′) refer to the characteristics used in building the translation system, the characteristics comprises four main categories, which are language model, phrase translation listing, sequence model and correctional word penalty items, m=1,. .. , M, M refers to the total number of characteristics, l(e′, e s ) refers to cost function, C 5 refers to the collection set of machine translation candidate, e′ ε C 5 .