@inproceedings{L16-1352,
 abstract = {This paper presents ProphetMT, a tree-based SMT-driven Controlled Language (CL) authoring and post-editing tool. ProphetMT employs the source-side rules in a translation model and provides them as auto-suggestions to users. Accordingly, one might say that users are writing in a Controlled Language that is understood by the computer. ProphetMT also allows users to easily attach structural information as they compose content. When a specific rule is selected, a partial translation is promptly generated on-the-fly with the help of the structural information. Our experiments conducted on English-to-Chinese show that our proposed ProphetMT system can not only better regularise an author's writing behaviour, but also significantly improve translation fluency which is vital to reduce the post-editing time. Additionally, when the writing and translation process is over, ProphetMT can provide an effective colour scheme to further improve the productivity of post-editors by explicitly featuring the relations between the source and target rules.
},
 address = {Portorož, Slovenia},
 author = {Xiaofeng Wu and Jinhua Du and Qun Liu and Andy Way},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {2214--2221},
 publisher = {European Language Resources Association (ELRA)},
 title = {ProphetMT: A Tree-based SMT-driven Controlled Language Authoring/Post-Editing Tool},
 url = {https://www.aclweb.org/anthology/L16-1352},
 year = {2016}
}