首页> 外文会议>Conference on computational natural language learning >A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition
【24h】

A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition

机译:基于数据的母语习得中主体遗漏错误的纠正反馈调查

获取原文

摘要

We investigate implicit corrections in the form of contrastive discourse in child-adult interaction, which have been argued to contribute to language learning. In contrast to previous work in psycholinguis-tics, we adopt a data-driven methodology, using comparably large amounts of data and leveraging computational methods. We conduct a corpus study on the use of parental corrective feedback and show that its presence in child directed speech is associated with a reduction of child subject omission errors in English.
机译:我们调查在儿童与成人互动中形成对比性话语形式的内在纠正,这些被认为有助于语言学习。与以前在心理学方面的工作相比,我们采用了一种数据驱动的方法,使用了相对大量的数据并利用了计算方法。我们进行了一项关于使用父母矫正反馈的语料库研究,并显示了其在儿童指导语音中的存在与减少英语中的儿童主体遗漏错误有关。

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