Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
PLoS One. 2013 Jul 29;8(7):e69945. doi: 10.1371/journal.pone.0069945. Print 2013.
Morphemes are the smallest meaningful parts of words and therefore represent a natural unit to study the evolution of words. To analyze the influence of language change on morphemes, we performed a large scale analysis of German and English vocabulary covering the last 200 years. Using a network approach from bioinformatics, we examined the historical dynamics of morphemes, the fixation of new morphemes and the emergence of words containing existing morphemes. We found that these processes are driven mainly by the number of different direct neighbors of a morpheme in words (connectivity, an equivalent to family size or type frequency) and not its frequency of usage (equivalent to token frequency). This contrasts words, whose survival is determined by their frequency of usage. We therefore identified features of morphemes which are not dictated by the statistical properties of words. As morphemes are also relevant for the mental representation of words, this result might enable establishing a link between an individual's perception of language and historical language change.
语素是单词中最有意义的最小单位,因此是研究单词演变的自然单位。为了分析语言变化对语素的影响,我们对过去 200 年的德语和英语词汇进行了大规模的分析。我们使用生物信息学中的网络方法,研究了语素的历史动态、新语素的固定和包含现有语素的单词的出现。我们发现,这些过程主要由单词中语素的不同直接邻居的数量(连接性,相当于家族大小或类型频率)驱动,而不是其使用频率(相当于令牌频率)。这与单词形成对比,单词的生存由其使用频率决定。因此,我们确定了不受单词统计特性支配的语素特征。由于语素也与单词的心理表示相关,因此该结果可能能够在个人对语言的感知和历史语言变化之间建立联系。