论文标题
Vis-á-Vis：在注释的文学文本中检测类似的模式
ViS-Á-ViS : Detecting Similar Patterns in Annotated Literary Text
论文作者
论文摘要
我们提出了一个基于网络的系统，旨在帮助文学学者在带注释的文本语料库中检测重复模式。使用遥远的读取可视化效果使模式检测成为可能，该可视化量突出了潜在的有趣模式。此外，系统使用时间序列对齐算法，尤其是动态时间扭曲（DTW）来自动检测模式。我们提出了一个案例研究，其中将古老的希伯来诗歌语料库手动用比喻语言设备作为隐喻和比喻，然后加载到系统中。初步结果证实了该系统在分析注释数据和检测文学模式和相似性方面的有效性。
We present a web-based system called ViS-Á-ViS aiming to assist literary scholars in detecting repetitive patterns in an annotated textual corpus. Pattern detection is made possible using distant reading visualizations that highlight potentially interesting patterns. In addition, the system uses time-series alignment algorithms, and in particular, dynamic time warping (DTW), to detect patterns automatically. We present a case-study where an ancient Hebrew poetry corpus was manually annotated with figurative language devices as metaphors and similes and then loaded into the system. Preliminary results confirm the effectiveness of the system in analyzing the annotated data and in detecting literary patterns and similarities.
