 Newer approaches into Statistical Machine translation such as METIS II and PRESEMT use minimal corpus size and instead focus on derivation of syntactic structure through pattern recognition.With further development, this may allow statistical machine translation to operate off of a monolingual text corpus.SMT's biggest downfall includes it being dependent upon huge amounts of parallel texts, its problems with morphology-rich languages (especially with translating "into" such languages), and its inability to correct singleton errors.