{"title":"Classifying Undeciphered Writing Systems","authors":"Andreas Fuls","doi":"10.13109/HISP.2015.128.1.42","DOIUrl":null,"url":null,"abstract":"English abstract Writing systems are classified as logographic, syllabic, or alphabetic, although in ancient times most writing consisted of a mixture of logograms and syllables (logographic-syllabic). The number of signs and their frequencies depend on the type of writing system and describes the degree of phonetization of a specific script. It can be shown that the mean word length depends on the sign distribution expressed by a linear relationship between mean word length and the exponent of a power law of the sign frequencies. The function allows the classification of the language of undeciphered writing systems as polysynthetic or fusional. The exponent of a power law of the sign frequencies also shows a relationship to the percentage of syllables or one-consonant signs, which makes it possible to estimate the degree of phonetization of undeciphered scripts. Both statistical relationships allow the classification of logographic-syllabic writing systems in greater detail than previously possible count...","PeriodicalId":177751,"journal":{"name":"Historische Sprachforschung","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historische Sprachforschung","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13109/HISP.2015.128.1.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
English abstract Writing systems are classified as logographic, syllabic, or alphabetic, although in ancient times most writing consisted of a mixture of logograms and syllables (logographic-syllabic). The number of signs and their frequencies depend on the type of writing system and describes the degree of phonetization of a specific script. It can be shown that the mean word length depends on the sign distribution expressed by a linear relationship between mean word length and the exponent of a power law of the sign frequencies. The function allows the classification of the language of undeciphered writing systems as polysynthetic or fusional. The exponent of a power law of the sign frequencies also shows a relationship to the percentage of syllables or one-consonant signs, which makes it possible to estimate the degree of phonetization of undeciphered scripts. Both statistical relationships allow the classification of logographic-syllabic writing systems in greater detail than previously possible count...