  A LightGBM model fed with target word lexical characteristics and features
obtained from word frequency lists, psychometric data and bigram association
measures has been optimized for the 2021 CMCL Shared Task on Eye-Tracking Data
Prediction. It obtained the best performance of all teams on two of the five
eye-tracking measures to predict, allowing it to rank first on the official
challenge criterion and to outperform all deep-learning based systems
participating in the challenge.
