• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

LexiCAL:词汇变量计算器。

LexiCAL: A calculator for lexical variables.

机构信息

National University of Singapore, Singapore, Singapore.

出版信息

PLoS One. 2021 Apr 30;16(4):e0250891. doi: 10.1371/journal.pone.0250891. eCollection 2021.

DOI:10.1371/journal.pone.0250891
PMID:33930073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8087072/
Abstract

While a number of tools have been developed for researchers to compute the lexical characteristics of words, extant resources are limited in their useability and functionality. Specifically, some tools require users to have some prior knowledge of some aspects of the applications, and not all tools allow users to specify their own corpora. Additionally, current tools are also limited in terms of the range of metrics that they can compute. To address these methodological gaps, this article introduces LexiCAL, a fast, simple, and intuitive calculator for lexical variables. Specifically, LexiCAL is a standalone executable that provides options for users to calculate a range of theoretically influential surface, orthographic, phonological, and phonographic metrics for any alphabetic language, using any user-specified input, corpus file, and phonetic system. LexiCAL also comes with a set of well-documented Python scripts for each metric, that can be reproduced and/or modified for other research purposes.

摘要

虽然已经开发了一些工具供研究人员计算词汇的词汇特征,但现有的资源在可用性和功能方面受到限制。具体来说,一些工具要求用户对应用程序的某些方面有一定的了解,并非所有工具都允许用户指定自己的语料库。此外,当前的工具在它们可以计算的度量范围方面也受到限制。为了解决这些方法上的差距,本文介绍了 LexiCAL,这是一种快速、简单和直观的词汇变量计算器。具体来说,LexiCAL 是一个独立的可执行文件,为用户提供了使用任何用户指定的输入、语料库文件和语音系统,计算一系列具有理论影响力的表面、正字法、音韵和语音学度量的选项。LexiCAL 还附带了一组针对每个度量的记录良好的 Python 脚本,可用于其他研究目的的再现和/或修改。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/e91de32ef74f/pone.0250891.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/5f140911fd21/pone.0250891.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/78cdbf670962/pone.0250891.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/27b9badf6b0e/pone.0250891.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/5dc803f333bb/pone.0250891.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/9325f0938a8f/pone.0250891.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/e91de32ef74f/pone.0250891.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/5f140911fd21/pone.0250891.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/78cdbf670962/pone.0250891.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/27b9badf6b0e/pone.0250891.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/5dc803f333bb/pone.0250891.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/9325f0938a8f/pone.0250891.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/8087072/e91de32ef74f/pone.0250891.g006.jpg

相似文献

1
LexiCAL: A calculator for lexical variables.LexiCAL:词汇变量计算器。
PLoS One. 2021 Apr 30;16(4):e0250891. doi: 10.1371/journal.pone.0250891. eCollection 2021.
2
K-SPAN: A lexical database of Korean surface phonetic forms and phonological neighborhood density statistics.K-SPAN:一个韩语表面语音形式和音韵邻接密度统计的词汇数据库。
Behav Res Methods. 2017 Oct;49(5):1939-1950. doi: 10.3758/s13428-016-0836-8.
3
PHOR-in-One: A multilingual lexical database with PHonological, ORthographic and PHonographic word similarity estimates in four languages.PHO-R 一体:一个多语言词汇数据库,包含四种语言的 PHonological、ORthographic 和 PHonographic 单词相似度估计。
Behav Res Methods. 2023 Oct;55(7):3699-3725. doi: 10.3758/s13428-022-01985-3. Epub 2022 Nov 7.
4
Procura-PALavras (P-PAL): A Web-based interface for a new European Portuguese lexical database.Procura-PALavras (P-PAL):一个新的欧洲葡萄牙语词汇数据库的网络界面。
Behav Res Methods. 2018 Aug;50(4):1461-1481. doi: 10.3758/s13428-018-1058-z.
5
The Malay Lexicon Project: a database of lexical statistics for 9,592 words.马来语词汇项目:包含 9592 个单词的词汇统计数据库。
Behav Res Methods. 2010 Nov;42(4):992-1003. doi: 10.3758/BRM.42.4.992.
6
GreekLex 2: A comprehensive lexical database with part-of-speech, syllabic, phonological, and stress information.希腊语词典2:一个包含词性、音节、语音和重音信息的综合词汇数据库。
PLoS One. 2017 Feb 23;12(2):e0172493. doi: 10.1371/journal.pone.0172493. eCollection 2017.
7
Norwegian words: A lexical database for clinicians and researchers.挪威语词汇:面向临床医生和研究人员的词汇数据库。
Clin Linguist Phon. 2015 Apr;29(4):276-90. doi: 10.3109/02699206.2014.999952. Epub 2015 Jan 14.
8
The phonographic language network: Using network science to investigate the phonological and orthographic similarity structure of language.语音语言网络:利用网络科学研究语言的语音和正字法相似性结构。
J Exp Psychol Gen. 2019 Mar;148(3):475-500. doi: 10.1037/xge0000575.
9
From Cantonese Lexical Tone Awareness to Second Language English Vocabulary: Cross-Language Mediation by Segmental Phonological Awareness.从粤语词汇声调意识到第二语言英语词汇:分段语音意识的跨语言中介作用。
J Speech Lang Hear Res. 2019 Jun 19;62(6):1875-1889. doi: 10.1044/2019_JSLHR-L-17-0323. Epub 2019 May 14.
10
The relation between phonological and lexical development in French-speaking children.说法语儿童的语音和词汇发展之间的关系。
Clin Linguist Phon. 2018;32(12):1103-1125. doi: 10.1080/02699206.2018.1510984. Epub 2018 Sep 5.

引用本文的文献

1
Jiwar: A database and calculator for word neighborhood measures in 40 languages.吉瓦尔:一个包含40种语言的词邻域度量的数据库和计算器。
Behav Res Methods. 2025 Feb 19;57(3):98. doi: 10.3758/s13428-025-02612-7.
2
SCOPE: The South Carolina psycholinguistic metabase.范围:南卡罗来纳州心理语言学元数据库。
Behav Res Methods. 2023 Sep;55(6):2853-2884. doi: 10.3758/s13428-022-01934-0. Epub 2022 Aug 15.

本文引用的文献

1
LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon.LexFindR:一个快速、简单且可扩展的 R 包,用于在词汇表中查找相似的单词。
Behav Res Methods. 2022 Jun;54(3):1388-1402. doi: 10.3758/s13428-021-01667-6. Epub 2021 Sep 30.
2
LexOPS: An R package and user interface for the controlled generation of word stimuli.LexOPS:一个用于受控生成单词刺激的 R 包和用户界面。
Behav Res Methods. 2020 Dec;52(6):2372-2382. doi: 10.3758/s13428-020-01389-1.
3
The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords.
听觉英语词汇项目:一个包含 10170 个口语词和非词的多说话人、多区域心理语言学数据库。
Behav Res Methods. 2020 Oct;52(5):2202-2231. doi: 10.3758/s13428-020-01352-0.
4
A Web-based interface to calculate phonotactic probability for words and nonwords in Modern Standard Arabic.一个基于网络的界面,用于计算现代标准阿拉伯语单词和非单词的音韵规则概率。
Behav Res Methods. 2018 Feb;50(1):313-322. doi: 10.3758/s13428-017-0872-z.
5
An online calculator to compute phonotactic probability and neighborhood density on the basis of child corpora of spoken American English.基于英语口语美国儿童语料库计算音韵规则概率和近邻密度的在线计算器。
Behav Res Methods. 2010 May;42(2):497-506. doi: 10.3758/BRM.42.2.497.
6
Moving beyond Coltheart's N: a new measure of orthographic similarity.超越科尔特哈特的N:一种新的正字法相似性度量方法。
Psychon Bull Rev. 2008 Oct;15(5):971-9. doi: 10.3758/PBR.15.5.971.
7
The English Lexicon Project.英语词汇项目
Behav Res Methods. 2007 Aug;39(3):445-59. doi: 10.3758/bf03193014.
8
The spread of the phonological neighborhood influences spoken word recognition.语音邻域的扩展会影响口语单词识别。
Mem Cognit. 2007 Jan;35(1):166-75. doi: 10.3758/bf03195952.
9
The processing of lexical stress during visual word recognition: typicality effects and orthographic correlates.视觉单词识别过程中词汇重音的处理:典型性效应与正字法相关性
Q J Exp Psychol (Hove). 2006 May;59(5):920-48. doi: 10.1080/02724980443000782.
10
More words in the neighborhood: interference in lexical decision due to deletion neighbors.附近更多的单词:由于删除邻词对词汇判断产生的干扰。
Psychon Bull Rev. 2005 Oct;12(5):904-10. doi: 10.3758/bf03196784.