首页> 外文会议>SIGMORPHON workshop on computational research in phonetics phonology, and morphology >The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion
【24h】

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

机译:SIGMORPHON 2020在无监督形态学范式完成方面的共同任务

获取原文

摘要

In this paper, we describe the findings of the SIGMORPHON 2020 shared task on unsu-pervised morphological paradigm completion (SIGMORPHON 2020 Task 2), a novel task in the field of inflectional morphology. Participants were asked to submit systems which take raw text and a list of lemmas as input, and output all inflected forms, i.e., the entire morphological paradigm, of each lemma. In order to simulate a realistic use case, we first released data for 5 development languages. However, systems were officially evaluated on 9 surprise languages, which were only revealed a few days before the submission deadline. We provided a modular baseline system, which is a pipeline of 4 components. 3 teams submitted a total of 7 systems, but, surprisingly, none of the submitted systems was able to improve over the baseline on average over all 9 test languages. Only on 3 languages did a submitted system obtain the best results. This shows that unsupervised morphological paradigm completion is still largely unsolved. We present an analysis here, so that this shared task will ground further research on the topic.
机译:在本文中,我们描述了SIGMORPHON 2020共享任务在未监督的形态学范式完成(SIGMORPHON 2020任务2)上的发现,这是拐折形态学领域中的一项新任务。要求参与者提交系统,该系统以原始文本和引理列表作为输入,并输出每个引理的所有变形形式,即整个形态范式。为了模拟现实的用例,我们首先发布了5种开发语言的数据。但是,系统已针对9种令人惊讶的语言进行了正式评估,这些语言仅在提交截止日期前几天才公开。我们提供了一个模块化基准系统,该系统由4个组件组成。 3个团队总共提交了7个系统,但是令人惊讶的是,没有一个提交的系统能够在所有9种测试语言的基础上平均提高。提交的系统仅使用3种语言获得了最佳结果。这表明无监督的形态学范式的完成仍然很大程度上没有解决。我们在这里进行分析,以便共同完成这项任务,以便对该主题进行进一步的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号