This site is designed to help improve reading comprehension for English-language learners or for anyone
looking to study up on a new topic. Starting with the articles from Wikipedia, we have developed algorithms to produce
reading comprehension questions designed to mimic the style of questions seen on the TOEFL exam. Improving reading
comprehension stems from practice on new material.
Click the "Get Started" button to head to topic selection. You can choose a topic, or you can allow us to choose a random topic for you.
We are a team from the University of California - Berkeley, studying data science. We aim to combine our expertise in education and advanced machine learning to produce a tool to help readers and learners.
AutoQ is the first free web app with automatically generated reading comprehension questions targeted to English language learners. Our product utilizes state of the art machine learning and natural language processing techniques to create a vast and topical collection of multiple-choice questions that mimic English-language exam formats. We currently offer over 10,000 practice questions on over 2,500 new Wikipedia articles.
There’s always room for improvement! We’ve incorporated this into our site via the feedback buttons. One of the downsides of using automatic approaches for this is that we may occasionally show questions that aren’t up to our human standards. We just don’t have enough time to check every single output, so we’d appreciate it if you could help us as you use this tool. We can then use your feedback to produce more natural questions and improve on what’s already here, or remove ill-formed questions.