用于学科数据驱动学习的用户友好型语料库工具

IF 1.6 2区文学 N/A LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2024-04-16 DOI:10.1075/ijcl.23056.cro

Peter Crosthwaite, V. Baisa

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引用次数: 0

摘要

大多数常用于基于语料库的数据驱动学习（DDL）的语料库工具都是为研究而不是教学目的而设计的，许多DDL研究表明，由于复杂的用户界面和系统设置等与工具相关的问题，学习者及其教师往往在初始培训后就停止了DDL。根据澳大利亚中学阶段语言学习者及其教师的反馈，我们推出了CorpusMate (https://corpusmate.com)，这是一种新的、用户友好型语料库工具，它整合了20个学科的多个公开可用的书面和口语语料库。它提供了一系列灵活的配对、n-gram和数据可视化选项，以确保最终用户获得快速、流畅和简单的DDL体验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A user-friendly corpus tool for disciplinary data-driven learning

Most corpus tools commonly used for corpus-based data-driven learning (DDL) are designed for research rather than teaching purposes, with much DDL research suggesting learners and their teachers often stop DDL after initial training due to tool-related issues like complex user interfaces and system settings. Based on feedback from secondary-age language learners and their teachers in the Australian context, we present CorpusMate (https://corpusmate.com), a new, user-friendly corpus tool that incorporates several publicly available written and spoken corpora across 20 disciplinary subjects. It offers a range of flexible concordancing, n-gram and data visualisation options to ensure a fast, smooth and simple DDL experience for end users.

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来源期刊

International Journal of Corpus Linguistics Multiple-

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.