Language muse: Automated linguistic activity generation for English language learners

Authors

• Nitin Madnani, Educational Testing Service
• Jill Burstein, Educational Testing Service
• John Sabatini, Educational Testing Service
• Kietha Biggers, Educational Testing Service
• Slava Andreyev, Educational Testing Service

Abstract

Current education standards in the U.S. require school students to read and understand complex texts from different subject areas (e.g., social studies). However, such texts usually contain figurative language, complex phrases and sentences, as well as unfamiliar discourse relations. This may present an obstacle to students whose native language is not English - a growing sub-population in the US.¹ One way to help such students is to create classroom activities centered around linguistic elements found in subject area texts (DelliCarpini, 2008). We present a web-based tool that uses NLP algorithms to automatically generate customizable linguistic activities that are grounded in language learning research.

Publication Title

54th Annual Meeting of the Association for Computational Linguistics Acl 2016 System Demonstrations

Recommended Citation

Madnani, N., Burstein, J., Sabatini, J., Biggers, K., & Andreyev, S. (2016). Language muse: Automated linguistic activity generation for English language learners. 54th Annual Meeting of the Association for Computational Linguistics Acl 2016 System Demonstrations, 79-84. https://doi.org/10.18653/v1/p16-4014