{"title":"基于混合原则规则的塞尔维亚语自动音节化方法","authors":"Aniko Kovač, M. Markovic","doi":"10.51663/pnz.59.1.06","DOIUrl":null,"url":null,"abstract":"In this paper, we present a mixed-principle rule-based approach to the automatic syllabification of Serbian, based on prescriptive rules from traditional grammar in combination with the Sonority Sequencing Principle. We explore the problems and limitations of the existing rule set and sonority-based approaches, introduce an algorithm that utilizes both means in an attempt to produce a more accurate segmentation of words into syllables that is better aligned with the intuition of the native speakers, and present the statistical data related to the distribution of syllables and their structure in Serbian.","PeriodicalId":315758,"journal":{"name":"Contributions to Contemporary History","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Mixed-principle Rule-based Approach to the Automatic Syllabification of Serbian\",\"authors\":\"Aniko Kovač, M. Markovic\",\"doi\":\"10.51663/pnz.59.1.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a mixed-principle rule-based approach to the automatic syllabification of Serbian, based on prescriptive rules from traditional grammar in combination with the Sonority Sequencing Principle. We explore the problems and limitations of the existing rule set and sonority-based approaches, introduce an algorithm that utilizes both means in an attempt to produce a more accurate segmentation of words into syllables that is better aligned with the intuition of the native speakers, and present the statistical data related to the distribution of syllables and their structure in Serbian.\",\"PeriodicalId\":315758,\"journal\":{\"name\":\"Contributions to Contemporary History\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contributions to Contemporary History\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51663/pnz.59.1.06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contributions to Contemporary History","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51663/pnz.59.1.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Mixed-principle Rule-based Approach to the Automatic Syllabification of Serbian
In this paper, we present a mixed-principle rule-based approach to the automatic syllabification of Serbian, based on prescriptive rules from traditional grammar in combination with the Sonority Sequencing Principle. We explore the problems and limitations of the existing rule set and sonority-based approaches, introduce an algorithm that utilizes both means in an attempt to produce a more accurate segmentation of words into syllables that is better aligned with the intuition of the native speakers, and present the statistical data related to the distribution of syllables and their structure in Serbian.