Splitting Long or Ill-formed Input for Robust Spoken-language Translation

This paper proposes an input-splitting method for translating spoken-language which includes many long or ill-formed expressions. The pro-posed method splits input into well-balanced translation units based on a semantic distance calculation. The splitting is performed ur-ing left-to-right parsing, and does not degrade translation efficiency. The complete translation result is formed by concatenating the partial translation results of each split unit. The pro-posed method can be incorporated into frame-works like TDMT, which utilize left-to-right parsing and a score for a substructure. Experi-mental results show that the proposed method gives TDMT the following advantages: (1) elim