本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-12-22
摘要
In this work we show that global topological properties of co-occurrent word 網絡s constructed from texts, seem to be the fingerprint of meaningful sentences. We observe that many 統計 properties of these 網絡s depend on the frequency of words, however, others seem to be strictly determined by the grammar. Our results suggest that seems to be a lower bound of sense that depends on the correlation between mean word connectivity and word connectivity correlation. This property, in addition to being only present in meaningful texts, and absent in, until now, not decoded texts such as the Voynich manuscript, would also be exclusive for natural 語言s, allowing us to discriminate between these and formal texts.
※ 此為已發表論文，全文需透過期刊付費取得