构词法:自动提取和交互式探索语言构词法的工具

IF 1.1 2区 文学 0 LANGUAGE & LINGUISTICS Linguistics Vanguard Pub Date : 2023-12-11 DOI:10.1515/lingvan-2022-0122
Hengbin Yan, Yinghui Li
{"title":"构词法:自动提取和交互式探索语言构词法的工具","authors":"Hengbin Yan, Yinghui Li","doi":"10.1515/lingvan-2022-0122","DOIUrl":null,"url":null,"abstract":"A central task in empirical and quantitative language studies is the extraction of linguistic constructions important to linguistic theory and application. The great number and variety of such constructions increasingly necessitates computer-assisted extraction, which often proves challenging as it entails a simultaneous analysis of multiple layers of linguistic information latent in large-scale corpora. To address this, we present Constraction, an open-source tool for the automatic extraction and interactive exploration of linguistic constructions from arbitrary textual corpora. Constraction features a generic algorithm that integrates customizable layers of linguistic annotation (e.g., lexical, syntactic, and semantic) to identify constructional patterns of varying sizes and abstraction levels. Its browser-based interface allows users to configure various extraction parameters and enables visual, interactive exploration of the extracted patterns. We demonstrate the utility of Constraction through case studies and discuss its potential applications in language research and pedagogy.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":"97 4 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constraction: a tool for the automatic extraction and interactive exploration of linguistic constructions\",\"authors\":\"Hengbin Yan, Yinghui Li\",\"doi\":\"10.1515/lingvan-2022-0122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A central task in empirical and quantitative language studies is the extraction of linguistic constructions important to linguistic theory and application. The great number and variety of such constructions increasingly necessitates computer-assisted extraction, which often proves challenging as it entails a simultaneous analysis of multiple layers of linguistic information latent in large-scale corpora. To address this, we present Constraction, an open-source tool for the automatic extraction and interactive exploration of linguistic constructions from arbitrary textual corpora. Constraction features a generic algorithm that integrates customizable layers of linguistic annotation (e.g., lexical, syntactic, and semantic) to identify constructional patterns of varying sizes and abstraction levels. Its browser-based interface allows users to configure various extraction parameters and enables visual, interactive exploration of the extracted patterns. We demonstrate the utility of Constraction through case studies and discuss its potential applications in language research and pedagogy.\",\"PeriodicalId\":55960,\"journal\":{\"name\":\"Linguistics Vanguard\",\"volume\":\"97 4 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linguistics Vanguard\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1515/lingvan-2022-0122\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguistics Vanguard","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/lingvan-2022-0122","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0

摘要

语言实证和定量研究的一项核心任务是提取对语言理论和应用非常重要的语言结构。由于此类构式数量庞大、种类繁多,因此越来越需要计算机辅助提取,而这往往具有挑战性,因为它需要同时分析大规模语料库中潜藏的多层语言信息。为了解决这个问题,我们推出了 Constraction 这一开源工具,用于从任意文本语料库中自动提取和交互式探索语言结构。Constraction 采用通用算法,整合了可定制的语言注释层(如词法、句法和语义),以识别不同规模和抽象程度的构词模式。其基于浏览器的界面允许用户配置各种提取参数,并能对提取的模式进行可视化的交互式探索。我们通过案例研究展示了 Constraction 的实用性,并讨论了它在语言研究和教学中的潜在应用。
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
Constraction: a tool for the automatic extraction and interactive exploration of linguistic constructions
A central task in empirical and quantitative language studies is the extraction of linguistic constructions important to linguistic theory and application. The great number and variety of such constructions increasingly necessitates computer-assisted extraction, which often proves challenging as it entails a simultaneous analysis of multiple layers of linguistic information latent in large-scale corpora. To address this, we present Constraction, an open-source tool for the automatic extraction and interactive exploration of linguistic constructions from arbitrary textual corpora. Constraction features a generic algorithm that integrates customizable layers of linguistic annotation (e.g., lexical, syntactic, and semantic) to identify constructional patterns of varying sizes and abstraction levels. Its browser-based interface allows users to configure various extraction parameters and enables visual, interactive exploration of the extracted patterns. We demonstrate the utility of Constraction through case studies and discuss its potential applications in language research and pedagogy.
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
2.00
自引率
18.20%
发文量
105
期刊介绍: Linguistics Vanguard is a new channel for high quality articles and innovative approaches in all major fields of linguistics. This multimodal journal is published solely online and provides an accessible platform supporting both traditional and new kinds of publications. Linguistics Vanguard seeks to publish concise and up-to-date reports on the state of the art in linguistics as well as cutting-edge research papers. With its topical breadth of coverage and anticipated quick rate of production, it is one of the leading platforms for scientific exchange in linguistics. Its broad theoretical range, international scope, and diversity of article formats engage students and scholars alike. All topics within linguistics are welcome. The journal especially encourages submissions taking advantage of its new multimodal platform designed to integrate interactive content, including audio and video, images, maps, software code, raw data, and any other media that enhances the traditional written word. The novel platform and concise article format allows for rapid turnaround of submissions. Full peer review assures quality and enables authors to receive appropriate credit for their work. The journal publishes general submissions as well as special collections. Ideas for special collections may be submitted to the editors for consideration.
期刊最新文献
From sociolinguistic perception to strategic action in the study of social meaning. Sign recognition: the effect of parameters and features in sign mispronunciations. The use of the narrative final vowel -á by the Lingala-speaking youth of Kinshasa: from anterior to near/recent past Re-taking the field: resuming in-person fieldwork amid the COVID-19 pandemic Bibliographic bias and information-density sampling
×
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