We present a prototype of a novel technology for second language instruction. Our learn-by-reading approach lets a human learner acquire new words and constructions by encountering them in context. To facilitate reading comprehension, our technology presents mixed native language (L1) and second language (L2) sentences to a learner and allows them to interact with the sentences to make the sentences easier (more L1-like) or harder (more L2-like) to read. Eventually, our system should continuously track a learner's knowledge and learning style by modeling their interactions, including performance on a pop quiz feature. This will allow our system to generate personalized mixed-language texts for learners.
In REF we presented a user interface that allows learners to read "macaronic" (mixed L1/L2) texts, and thus to pick up L2 words and constructions by experiencing them in context.
Creating Interactive Macaronic Interfaces for Language Learning
ACL
Computer Science