Data Mining for Language Superfamilies Using Congruent Sound Groups
摘要
There have been several attempts in recent years to prove that some well-known language families can be grouped together into a language superfamily. This paper presents a data mining method to search for a language superfamily. The data mining method is based on the consideration of regular sound changes in various languages. Congruent Sound Groups are derived from the commonly observed regular sound changes. To demonstrate the feasibility of this method, we collected a set of words related to the four basic elements of air, earth, fire and water from seven languages: Hindi, Japanese, Korean, Russian, Sanskrit, Tamil and Telugu. These seven languages are classified into four different language families: Dravidian, Indo-European, Japonic, and Koreanic. The congruent sound group-based analysis enabled the identification of seven cognate groups of words that involve different language families. This suggests that these four different language families originate from a single protolanguage that was likely spoken in Asia more than 10,000 years ago.