IMI, Medical University of Graz, Austria.
Institute for AI in Healthcare, Technical University of Munich, Germany.
Stud Health Technol Inform. 2022 May 25;294:961-962. doi: 10.3233/SHTI220641.
The MTP (multiple translation paths) approach supports human translators in clinical terminology localization. It exploits the results of web-based machine translation tools and generates, for a chosen target language, a scored output of translation candidates for each input terminology code. We present first results of a validation, using four SNOMED CT benchmarks and three translation engines. For German as target language, there was a significant advantage of MTP as a generator of plausible translation candidate lists, and a moderate advantage of the top-ranked MTP translation candidate over single best performing direct-translation approaches.
MTP（多翻译路径）方法支持临床术语本地化中的人工翻译。它利用基于网络的机器翻译工具的结果，为选定的目标语言生成每个输入术语代码的评分输出的翻译候选。我们使用四个 SNOMED CT 基准和三个翻译引擎展示了验证的初步结果。对于德语作为目标语言，MTP 作为似是而非的翻译候选列表生成器具有显著优势，而排名最高的 MTP 翻译候选相对于单个最佳直接翻译方法具有中等优势。
