{"title":"fsca","authors":"Nathan Vandeweerd","doi":"10.1075/ijlcr.20018.van","DOIUrl":null,"url":null,"abstract":"\n This article reports on an open-source R package for the extraction of syntactic units from dependency-parsed\n French texts. To evaluate the reliability of the package, syntactic units were extracted from a corpus of L2 French and were\n compared to units extracted manually from the same corpus. The f-score of the extracted units ranged from 0.53–0.97. Although\n units were not always identical between the two methods, manual and automatically-derived syntactic complexity measures were\n strongly and significantly correlated (ρ = 0.62–0.97, p < 0.001), suggesting that this\n package may be a suitable replacement for manual annotation in some cases where manual annotation is not possible but that care\n should be used in interpreting the measures based on these units.","PeriodicalId":29715,"journal":{"name":"International Journal of Learner Corpus Research","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"fsca\",\"authors\":\"Nathan Vandeweerd\",\"doi\":\"10.1075/ijlcr.20018.van\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This article reports on an open-source R package for the extraction of syntactic units from dependency-parsed\\n French texts. To evaluate the reliability of the package, syntactic units were extracted from a corpus of L2 French and were\\n compared to units extracted manually from the same corpus. The f-score of the extracted units ranged from 0.53–0.97. Although\\n units were not always identical between the two methods, manual and automatically-derived syntactic complexity measures were\\n strongly and significantly correlated (ρ = 0.62–0.97, p < 0.001), suggesting that this\\n package may be a suitable replacement for manual annotation in some cases where manual annotation is not possible but that care\\n should be used in interpreting the measures based on these units.\",\"PeriodicalId\":29715,\"journal\":{\"name\":\"International Journal of Learner Corpus Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2021-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Learner Corpus Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1075/ijlcr.20018.van\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Learner Corpus Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/ijlcr.20018.van","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
This article reports on an open-source R package for the extraction of syntactic units from dependency-parsed
French texts. To evaluate the reliability of the package, syntactic units were extracted from a corpus of L2 French and were
compared to units extracted manually from the same corpus. The f-score of the extracted units ranged from 0.53–0.97. Although
units were not always identical between the two methods, manual and automatically-derived syntactic complexity measures were
strongly and significantly correlated (ρ = 0.62–0.97, p < 0.001), suggesting that this
package may be a suitable replacement for manual annotation in some cases where manual annotation is not possible but that care
should be used in interpreting the measures based on these units.