A language acquisition method based on statistical machine translation for application to robots

A method based on statistical machine translation is presented that will enable robots to learn language. The proposed method is novel in two ways: (1) the language acquisition problem is formulated as a statistical machine translation problem, and (2) language-specific morphological analysis is not necessary. Promising experimental results were obtained by applying a traditional statistical machine translation method for sequence-to-sequence conversion.