Duran Nicholas D, McCarthy Philip M, Graesser Art C, McNamara Danielle S
Department of Psychology, University of Memphis, Memphis, Tennessee 38152, USA.
Behav Res Methods. 2007 May;39(2):212-23. doi: 10.3758/bf03193150.
We investigated the linguistic features of temporal cohesion that distinguish variations in temporal coherence. In an analysis of 150 texts, experts rated temporal coherence on three continuous scale measures designed to capture unique representations of time. Coh-Metrix, a computational tool that assesses textual cohesion, correctly predicted the human ratings with five features of temporal cohesion. The correlations between predicted and actual scores were all statistically significant. In a complementary study, we explored the importance of temporal cohesion in characterizing genre. A discriminant function analysis, using Coh-Metrix temporal indices, successfully distinguished the genres of science, history, and narrative texts. The results suggested that history texts are more similar to narrative texts than to science texts in terms of temporal cohesion.
我们研究了区分时间连贯性变化的时间衔接的语言特征。在对150篇文本的分析中，专家们根据旨在捕捉时间独特表征的三个连续量表对时间连贯性进行了评分。Coh-Metrix是一种评估文本衔接性的计算工具，它通过时间衔接的五个特征正确地预测了人类评分。预测分数与实际分数之间的相关性均具有统计学意义。在一项补充研究中，我们探讨了时间衔接在体裁特征描述中的重要性。使用Coh-Metrix时间指标的判别函数分析成功地区分了科学、历史和叙事文本的体裁。结果表明，就时间衔接而言，历史文本与叙事文本比与科学文本更相似。
