• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>other >Lexical Predictability during Natural Reading: Effects of Surprisal and Entropy Reduction
【2h】

Lexical Predictability during Natural Reading: Effects of Surprisal and Entropy Reduction

机译：自然阅读过程中的词汇可预测性：惊奇和熵减少的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

What are the effects of word-by-word predictability on sentence processing times during the natural reading of a text? Although information-complexity metrics such as surprisal and entropy reduction have been useful in addressing this question, these metrics tend to be estimated using computational language models, which require some degree of commitment to a particular theory of language processing. Taking a different approach, the current study implemented a large-scale cumulative cloze task to collect word-by-word predictability data for 40 passages and compute surprisal and entropy reduction values in a theory-neutral manner. A separate group of participants read the same texts while their eye movements were recorded. Results showed that increases in surprisal and entropy reduction were both associated with increases in reading times. Further, these effects did not depend on the global difficulty of the text. The findings suggest that surprisal and entropy reduction independently contribute to variation in reading times, as these metrics seem to capture different aspects of lexical predictability.
机译：在自然阅读文本期间，逐字可预测性对句子处理时间有什么影响？尽管信息复杂性度量（例如惊喜和熵减少）在解决此问题方面很有用，但这些度量倾向于使用计算语言模型来估计，这需要对特定语言处理理论做出一定程度的投入。采用不同的方法，当前的研究实施了一个大规模的累积完形填空任务，以收集40个段落的逐字可预测性数据，并以一种与理论无关的方式计算出意外和熵减少值。记录参与者的眼动时，另一组参与者阅读相同的文本。结果表明，惊喜和熵减少的增加均与阅读时间的增加有关。此外，这些效果不取决于文本的整体难度。研究结果表明，惊喜和熵的减少独立地导致阅读时间的变化，因为这些指标似乎捕获了词汇可预测性的不同方面。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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