Improving on-line handwritten recognition in interactive machine translation
作者：
Highlights：
• We present a specific on-line HTR system for editing machine translation (MT) output.
• We leverage information from different sources in MT to constrain the HTR search.
• All the proposed systems outperform the baseline.
• The use of information from the translation models achieves remarkable results.
• Finally, we propose a system to amend HTR errors with a 75% typing effort reduction.
摘要
Highlights•We present a specific on-line HTR system for editing machine translation (MT) output.•We leverage information from different sources in MT to constrain the HTR search.•All the proposed systems outperform the baseline.•The use of information from the translation models achieves remarkable results.•Finally, we propose a system to amend HTR errors with a 75% typing effort reduction.
论文关键词：Interactive pattern recognition,On-line handwritten text recognition,Interactive machine translation,Human interaction
论文评审过程：Received 26 July 2012, Revised 11 June 2013, Accepted 30 September 2013, Available online 10 October 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.09.035
