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20192024
most citedLXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea

7 citations · 19 across the 11 of their papers we have counts for

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Showing 2021 · cs.CLShow all

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cs.CL2021

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee

We report two essential improvements in readability assessment: 1. three novel features in advanced semantics and 2. the timely evidence that traditional ML models (e.g. Random For…