Assigning CEFR-J levels to English texts based on textual features - Collections

＜conference paper＞
Assigning CEFR-J levels to English texts based on textual features

Creator	Author PID K005428 0000-0002-7779-0085 Creator Name Uchida, Satoru 内田, 諭ウチダ, サトル Affiliation Affiliation Name Kyushu University 九州大学
Creator	Author PID 50189362 Creator Name Negishi, Masashi 根岸, 雅史ネギシ, マサシ Affiliation Affiliation Name Tokyo University of Foreign Studies 東京外国語大学
Language	English
Date	2018-09-18
Source Title	Proceedings of Asia Pacific Corpus Linguistics Conference
Vol	4
First Page	463
Last Page	467
Conference	Name Asia Pacific Corpus Linguistics Conference APCLC Sequence 4 Place Takamatsu, Kagawa 香川県高松市 Country Japan
Publication Type	Accepted Manuscript
Access Rights	open access
Abstract	The present study attempts to assign CEFR-J levels (Pre-A1 to C2) to English texts based on textural features. Based on a coursebook corpus which consists of EFL/ESL English textbooks that claim to be... based on CEFR, four textual indexes are calculated. The indexes are ARI (a readability measure), VperSent (an average number of verbs included in each sentence), AvrDiff (the average of word difficulties) and BperA (the ratio of B level content words to A level content words). Regression models are created for each index to predict the level of the input text which is then implemented as an online application called CVLA (CEFR-based Vocabulary Level Analyzer). To show how CVLA works, experiments are conducted using major English language ability tests.show more

File	FileType	Size	Views	Description
2244112	pdf	867 KB	1,051

Record ID	2244112
Subject Terms	CEFR-J
	text level
	readability
Funding Information	Funder Name 日本学術振興会 Japan Society for the Promotion of Science (JSPS) Award Number 16H01935 Award Title 英語到達度指標CEFR-J準拠のCAN-DO指導タスクおよびテスト開発と公開
Created Date	2019.06.06
Modified Date	2019.06.11