从Levenshtein距离自动语言生成
Automated languages phylogeny from Levenshtein distance
摘要：
语言随着时间的推移而进化，在这个过程中，繁殖，突变和灭绝都是可能的，类似于生物体发生的事情。利用这种相似性，原则上可以建立显示语言之间相关程度的家谱。Swadesh在20世纪50年代开发的现代声门年代学所使用的方法，测量了具有共同历史起源的单词的百分比。这种方法的缺点是主观判断起着相关的作用。最近，我们提出了一种避免主观性的自动化方法，其结果可以通过使用相同数据库的研究来复制，并且不需要特定的语言知识。此外，该方法允许大量语言的快速比较。我们将我们的方法应用于印欧语系和南岛语系，在这两种情况下，考虑到50种不同的语言。由此产生的树是类似于以前的研究，但有一些重要的差异，在少数语言和子群的位置。我们认为，这些差异进行新的信息树的结构和家庭内的系统发育关系。
英文摘要：
Languages evolve over time in a process in which reproduction, mutation and extinction are all possible, similar to what happens to living organisms. Using this similarity it is possible, in principle, to build family trees which show the degree of relatedness between languages. The method used by modern glottochronology, developed by Swadesh in the 1950s, measures distances from the percentage of words with a common historical origin. The weak point of this method is that subjective judgment plays a relevant role. Recently we proposed an automated method that avoids the subjectivity, whose results can be replicated by studies that use the same database and that doesn't require a specific linguistic knowledge. Moreover, the method allows a quick comparison of a large number of languages. We applied our method to the Indo-European and Austronesian families, considering in both cases, fifty different languages. The resulting trees are similar to those of previous studies, but with some important differences in the position of few languages and subgroups. We believe that these differences carry new information on the structure of the tree and on the phylogenetic relationships within families.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
