fsca

IF 1.1 0 LANGUAGE & LINGUISTICS International Journal of Learner Corpus Research Pub Date : 2021-10-11 DOI:10.1075/ijlcr.20018.van
Nathan Vandeweerd
{"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}
引用次数: 3

摘要

本文介绍了一个开源R包,用于从依赖项解析的法语文本中提取语法单元。为了评估包的可靠性,从L2法语语料库中提取句法单位,并将其与从同一语料库中手动提取的单位进行比较。提取单位的f值范围为0.53 ~ 0.97。尽管两种方法之间的单位并不总是相同的,但手工和自动派生的语法复杂性度量是强烈且显著相关的(ρ = 0.62-0.97,p < 0.001),这表明在某些情况下,手工注释是不可能的,但在解释基于这些单位的度量时应该小心使用,这个包可能是手动注释的合适替代品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
fsca
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.40
自引率
27.30%
发文量
0
期刊最新文献
Comparing theory-based models of grammatical complexity in student writing Review of Leńko-Szymańska & Götz (2022): Complexity, Accuracy and Fluency in Learner Corpus Research Review of Granger (2021): Perspectives on the L2 Phrasicon: The view from learner corpora The effect of linguistic and extralinguistic features on EFL adverb placement On learner characteristics and why we should model them as latent variables
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1