{"title":"依赖距离与频率的关系","authors":"Xinying Chen, Kim Gerdes","doi":"10.18653/v1/W19-7909","DOIUrl":null,"url":null,"abstract":"This present pilot study investigates the relationship between dependency distance and frequency based on the analysis of an English dependency treebank. The preliminary result shows that there is a non-linear relation between dependency distance and frequency. This relation between them can be further formalized as a power law function which can be used to predict the distribution of dependency distance in a treebank.","PeriodicalId":196648,"journal":{"name":"Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The relation between dependency distance and frequency\",\"authors\":\"Xinying Chen, Kim Gerdes\",\"doi\":\"10.18653/v1/W19-7909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This present pilot study investigates the relationship between dependency distance and frequency based on the analysis of an English dependency treebank. The preliminary result shows that there is a non-linear relation between dependency distance and frequency. This relation between them can be further formalized as a power law function which can be used to predict the distribution of dependency distance in a treebank.\",\"PeriodicalId\":196648,\"journal\":{\"name\":\"Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W19-7909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W19-7909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The relation between dependency distance and frequency
This present pilot study investigates the relationship between dependency distance and frequency based on the analysis of an English dependency treebank. The preliminary result shows that there is a non-linear relation between dependency distance and frequency. This relation between them can be further formalized as a power law function which can be used to predict the distribution of dependency distance in a treebank.