This paper presents the system used in our submission to the \textit{IWPT 2020 Shared Task}. Our system is a graph-based parser with second-order inference. For the low-resource Tamil corpus, we specially mixed the training data of Tamil with other languages and significantly improved the performance of Tamil. Due to our misunderstanding of the submission requirements, we submitted graphs that are not connected, which makes our system only rank \textbf{6th} over 10 teams. However, after we fixed this problem, our system is 0.6 ELAS higher than the team that ranked \textbf{1st} in the official results.

翻译：本文介绍了我们提交到 \ textit{ IWPT 2020 共享任务} 的文件中所使用的系统。 我们的系统是以图表为基础的分析器, 带有二级推论。 对于低资源泰米尔人, 我们特别将泰米尔人的培训数据与其他语言混合, 并大大改善了泰米尔人的工作表现。 由于我们对提交要求的误解, 我们提交的图表没有连接, 这使得我们的系统仅排在10个队以上。 然而, 在我们解决这个问题后, 我们的系统比官方结果中排名为\ textbf{1st} 的团队高出0.6 ELAS 。