Learning accurate, compact, and interpretable tree annotation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Successful classroom deployment of a social document annotation system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Smart subtitles for language learning
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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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.