Paper: Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation

ACL ID P11-2068
Title Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

In interactive machine translation (IMT), a hu- man expert is integrated into the core of a ma- chine translation (MT) system. The human ex- pert interacts with the IMT system by partially correcting the errors of the system’s output. Then, the system proposes a new solution. This process is repeated until the output meets the desired quality. In this scenario, the in- teraction is typically performed using the key- board and the mouse. In this work, we present an alternative modality to interact within IMT systems by writing on a tactile display or us- ing an electronic pen. An on-line handwrit- ten text recognition (HTR) system has been specifically designed to operate with IMT sys- tems. Our HTR system improves previous ap- proaches in two main aspects. First, HTR de- coding is tightl...