a Statistical Machine Translation Corpus Word in Bl-Jext Alignment Training Models (static) Translation Language /sowe A 其 中<二 Decoding Figure 2: Phrase-based SMT Framework o SMt translations are generated on the basis of statistical models whose parameters are derived from the analysis of text corpora [3] o Currently, the most successful approach of SmT is phrase-based SMT, where the smallest translation unit is n-gram consecutive words. [3 Peter F. Brown, Vincent ]. Della Pietra, Stephen A. Della Pietra, and Robert L. Mercer. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics. 19: 263-311 (6/84)Statistical Machine Translation  SMT translations are generated on the basis of statistical models whose parameters are derived from the analysis of text corpora [3].  Currently, the most successful approach of SMT is phrase-based SMT, where the smallest translation unit is n-gram consecutive words. [3] Peter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra, and Robert L. Mercer. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics. 19:263–311. Figure 2: Phrase-based SMT Framework (6/84)