Abstract—There are multiple ways to improve reading
comprehension for English learners as a foreign language.
Learning vocabulary is one of the ways to improve it. It is
believed that the more readers are familiar with the English
vocabulary, the better they will understand what they are
reading. It is suggested that the learners improve
comprehension if they learn and understand unknown words
before they read an essay. The morphological analysis was used
to extract the words from each sentence in an English text. The
extracted vocabulary was also classified by level of difficulty
into 12 levels according to the ALC12000 database. The system
showed only the words whose levels were higher than the
student's estimated vocabulary level. It will be expected that a
learner can improve their English reading comprehension by
studying higher-level vocabulary in advance of reading an essay.
In this study, a new method was investigated in order to analyze
vocabulary and develop a system that can analyze vocabulary
from English texts and add Japanese and Thai meanings. To
employ it for any device, the researchers developed the system
by using a JavaScript library called NLP-compromise that uses
any browser on any system.
Index Terms—Educational technology, computer aided
instruction, system development, language processing,
morphology, word-level classification.
Kamal Baha and Makoto Shishido are with Tokyo Denki University,
Japan (e-mail: 20udc02@ms.dendai.ac.jp).
Cite: Kamal Baha and Makoto Shishido, "Development of Word-Level Classification and Vocabulary Meaning System," International Journal of Information and Education Technology vol. 12, no. 11, pp. 1205-1210, 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).