Foreign manga reader: Learn grammar and pronunciation while reading comics
Name
MIller_Foreign manga.pdf
Size
235.71 KB
Format
Adobe PDF
Checksum (MD5)
a38124a72b87274d9edca0294e1c753d
Author(s)
Kovacs, Geza
Miller, Robert C.
Date Issued
October 2013
Journal
Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology (UIST '13 Adjunct)
Publisher
Association for Computing Machinery (ACM)
Citation
Geza Kovacs and Robert C. Miller. 2013. Foreign manga reader: learn grammar and pronunciation while reading comics. In Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology (UIST '13 Adjunct). ACM, New York, NY, USA, 11-12.
Version
Author's final manuscript
Abstract
Foreign-language comics are potentially an enjoyable way to learn foreign languages. However, the difficulty of reading authentic material makes them inaccessible to novice learners. We present the Foreign Manga Reader, a system that helps readers comprehend foreign-language written materials and learn multiple aspects of the language. Specifically, it generates a sentence-structure visualization to help learners understand the grammar, pronounces dialogs to improve listening comprehension and pronunciation, and translates dialogs, phrases, and words to teach vocabulary. Learners can use the system to match their experience level, giving novices access to dialog-level translations and pronunciations, and more advanced learners with access to information at the level of phrases and individual words. The annotations are automatically generated, and can be used with arbitrary written materials in several languages. A preliminary study suggests that learners find our system useful for understanding and learning from authentic foreign-language material.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2508468.2514931
