Estimating Memory Retention Traces of Foreign Language Vocabulary from Reading Interaction Data

While language-learning apps have empowered many users to learn languages inexpensively, the underlying technology limits the tasks they can offer to atomic, flashcard-like exercises. In this paper we present an algorithm that can effectively estimate memory traces from user interaction data that is generated in complex language learning tasks such as extensive reading. This technology can be applied to develop complex, intrinsically-motivating, high-value learning tasks based around long texts, television series or podcasts.