论文标题
跨诗意传统的映射主题演变
Mapping Topic Evolution Across Poetic Traditions
论文作者
论文摘要
跨语言的诗意传统的发展有所不同，但我们发现其中一些语义主题发生在其中的几个中，尽管有时会延迟延迟，或者随着时间的推移而有不同的轨迹。我们将潜在的Dirichlet分配（LDA）应用于四种语言的诗歌语料库，即德语（52k诗），英语（85k诗），俄语（18k诗）和捷克（80k诗）。我们结盟和解释显着的主题，随着时间的流逝（公元1600- 1925年），在诗歌传统之间显示出与一些精选的主题的相似性和差异，并随着时间的推移将其轨迹利用来查明特定的文学时代。
Poetic traditions across languages evolved differently, but we find that certain semantic topics occur in several of them, albeit sometimes with temporal delay, or with diverging trajectories over time. We apply Latent Dirichlet Allocation (LDA) to poetry corpora of four languages, i.e. German (52k poems), English (85k poems), Russian (18k poems), and Czech (80k poems). We align and interpret salient topics, their trend over time (1600--1925 A.D.), showing similarities and disparities across poetic traditions with a few select topics, and use their trajectories over time to pinpoint specific literary epochs.
