Towards a Linguistically Motivated Segmentation for a Simultaneous Interpretation System

For simultaneous interpretation, it is very important to identify appropriate segmentation boundaries so that the source text can be translated accurately and promptly. This paper proposes four different segmentation methods for a simultaneous interpretation system. These methods are designed considering the balance between translation accuracy and translation latency. They employ various linguistic features such as prosodic, part-of-speech (POS), dependency, discourse, and cognitive features. This paper conducts experiments on segmentation in English to Korean and Korean to English simultaneous interpretation. Our finding shows that different segmentation method should be applied depending on the source language.