基于包含Pre-A1水平的日文文档分类方法推断CEFR Can-Do语句的初步研究

Vuong Hong Duc, Huynh Nguyen Tra My, Yoshinori Miyazaki, Seiji Tani
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引用次数: 0

摘要

旨在评估外语能力的欧洲共同语言参考框架(CEFR)因其“能做声明”(cds)而备受关注。然而,针对日语学习者的CEFR研究数量有限。其中一些重点是利用长度、文档类型和技术性三个推理特征将日语例句分类到相应的CEFR阅读理解指标中。在本研究中,我们在2017年CEFR新描述符配套卷中发布的Pre-A1级别中增加了7个新的cds,并进行了对cds进行分类的实验。为了配合新cds的整合,我们使用了一个名为汉字率的新特征以及三个推理特征作为评估日语阅读理解能力的重要指标。最后给出了实验结果。本研究的目的是协助现场教师使用CEFR评估学习者的日语能力。我们的最终目标是创建一个日语cefr兼容的文本语料库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pilot Study to Infer CEFR Can-Do Statements Based on a Japanese Document Classification Method Including the Pre-A1 Level
The Common European Framework of Reference for Languages (CEFR), which is designed to assess foreign language proficiency, has attracted lot of attention with can-do statements (CDSs). However, only a limited number of CEFR studies for learners of the Japanese language have been conducted. Some of them focused on the classification of Japanese example sentences into the corresponding CEFR reading comprehension indices using three inference features: length, document type, and technicality. In this study, we add seven new CDSs to the Pre-A1 level published in the CEFR Companion Volume with New Descriptors in 2017 and perform experiments to classify the CDSs. In line with the incorporation of the new CDSs, we used a new feature called Kanji rate along with the three inference features as vital indexes for assessing Japanese reading comprehension. Experimental results are presented in the study. The purpose of this study is to help teachers on site use CEFR to evaluate the Japanese language proficiency of learners. Our ultimate goal is to create a Japanese CEFR-compliant text corpus.
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