Šolar, the developmental corpus of Slovene

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Špela Arhar Holdt, Iztok Kosem
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引用次数: 0

Abstract

The paper presents the Šolar developmental corpus of Slovene, comprising the written language production of students in Slovene elementary and secondary schools, along with teacher feedback. The corpus consists of 5485 texts (1,635,407 words) and includes linguistically categorized teacher corrections, making the corpus unique in reflecting authentic classroom correction practices. The paper addresses the corpus compilation, content and format, annotation, availability, and its applicative value. While learner corpora are abundant, developmental corpora are less common. The paper bridges the gap by introducing the evolution from Šolar 1.0 to 3.0, emphasizing improvements in text collection, error and correction annotation, and categorization methodology. It also underlines the challenges and unresolved issues of compiling developmental corpora, most notably the lack of openly available tools and standards for different steps of the compilation process. Overall, the Šolar corpus offers valuable insights into language learning and teaching, contributing to teacher training, empirical studies in applied linguistics, and natural language processing tasks.

斯洛文尼亚语发展语料库
本文介绍了斯洛文尼亚语的 Šolar 发展语料库,该语料库由斯洛文尼亚语中小学学生的书面语言生产和教师反馈组成。该语料库由 5485 篇文本(1,635,407 个单词)组成,包括按语言分类的教师批改,从而使该语料库在反映真实课堂批改实践方面独树一帜。本文论述了语料库的编制、内容和格式、注释、可用性及其应用价值。学习者语料库非常丰富,但发展性语料库却不常见。本文介绍了 Šolar 1.0 到 3.0 的演变过程,强调了在文本收集、错误和更正注释以及分类方法方面的改进,从而弥补了这一差距。论文还强调了编纂开发性语料库所面临的挑战和尚未解决的问题,其中最突出的是编纂过程的不同步骤缺乏公开可用的工具和标准。总之,Šolar 语料库为语言学习和教学提供了宝贵的见解,有助于教师培训、应用语言学的实证研究和自然语言处理任务。
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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来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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