通过MT和POS标记自动清除TM：Autodesk提交的NLP4TM 2016共享任务
Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task
Autodesk（欧特克）
摘要：
我们描述了一种基于机器学习的方法来识别翻译记忆中的错误条目。它扩展了Barbu（2015）之前的工作，结合了基于召回的机器翻译和词性标记功能。我们的系统在二进制分类（II）任务中排名第一，三种语言对中有两种：英语-意大利语和英语-西班牙语。
英文摘要：
We describe a machine learning based method to identify incorrect entries in translation memories. It extends previous work by Barbu (2015) through incorporating recall-based machine translation and part-of-speech-tagging features. Our system ranked first in the Binary Classification (II) task for two out of three language pairs: English-Italian and English-Spanish.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
