Abstract
Extensive Reading, called “Tadoku” in Japan, is a method of learning a second language to improve reading speed and fluency. Japanese comics translated into English is used as one of the materials for extensive reading, where Japanese comics are called manga. Using manga to learn English is considered to be a good way to learn English because the content can be inferred from the pictures. However, some learners cannot memorize and learn all the words when they read many books. Therefore, if there is a function to automatically save unknown words in the books they read or to create flashcards, they can learn English more efficiently.
In this paper, we introduce Manga Vocabulometer, the support system for extensive reading. It is a web-based system that allows students to choose their favorite manga to read. It is also able to check for unknown words, so the system can present flashcards to learners. To confirm the advantage of the proposed system, we compare two memorization methods: one is the memorization method using Manga Vocabulometer and the other is the traditional simple memorization method.
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References
Augereau, O., et al.: Vocabulometer: a web platform for document and reader mutual analysis. In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS). IEEE (2018)
Yamaguchi, K., Iwata, M., Vargo, A., Kise, K.: Mobile vocabulometer: a context-based learning mobile application to enhance English vocabulary acquisition. In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC ’20). Association for Computing Machinery, New York, NY, USA, pp. 156–159 (2020)
La Pray, M., Ross, R.: The graded word list: quick gauge of reading ability. J. Read. 12(4), 305–307 (1969)
Israel, S.E., Duffy, G.G.: Handbook of Research on Reading Comprehension, 2nd edn. Guilford Publications, New York (2017). https://books.google.co.jp/books?id=xeK0DAAAQBAJ
Shintani, N.: A comparative study of the effects of input-based and production-based instruction on vocabulary acquisition by young EFL learners. Lang. Teach. Res. 15(2), 137–158 (2011)
Webb, S.: Learning word pairs and glossed sentences: the effects of a single context on vocabulary knowledge. Lang. Teach. Res. 11(1), 63–81 (2007)
Hidi, S.: Interest, reading, and learning: theoretical and practical considerations. Educ. Psychol. Rev. 13(3), 191–209 (2001). https://doi.org/10.1023/A:1016667621114
Hosler, J., Boomer, K.B.: Are comic books an effective way to engage nonmajors in learning and appreciating science? CBE-Life Sci. Educ. 10(3), 309–317 (2011)
Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9365–9374 (2019)
Smith, R.: An overview of the tesseract OCR engine. In: Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), vol. 2, pp. 629–633. IEEE (2007)
Matsui, Y., et al.: Sketch-based manga retrieval using manga109 dataset. Multimedia Tools Appl. 76(20), 21811–21838 (2016). https://doi.org/10.1007/s11042-016-4020-z
Pratt, J.W.: Remarks on zeros and ties in the Wilcoxon signed rank procedures. J. Amer. Statist. Assoc. 54(287), 655–667 (1959)
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Kato, J., Iwata, M., Kise, K. (2021). Manga Vocabulometer, A New Support System for Extensive Reading with Japanese Manga Translated into English. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12666. Springer, Cham. https://doi.org/10.1007/978-3-030-68780-9_20
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DOI: https://doi.org/10.1007/978-3-030-68780-9_20
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