---
title: "Who cites LXPER Index 2.0: Improving Text — 4 citing papers"
description: "4 papers of the Elamur Research library cite «LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in…"
canonical: "https://research.elamur.ai/free/en/papers/lee-2020-lxper-index-2-0-improving/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LXPER Index 2.0: Improving Text Readability…](https://md.research.elamur.ai/free/en/papers/lee-2020-lxper-index-2-0-improving/) / cited by

# Who cites «LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea»](https://md.research.elamur.ai/free/en/papers/lee-2020-lxper-index-2-0-improving/)

1. **[Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features](https://md.research.elamur.ai/free/en/papers/lee-2021-pushing-text-readability-assessment-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bruce W. Lee, Yoo Sung Jang, Jason Lee*2021 · 115 citations*
2. [**Traditional Readability Formulas Compared for English arXiv:2301.02975**Bruce W. Lee, Jason Hyung-Jong Lee*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/lee-2023-traditional-readability-formulas-compared-english/)
3. [**Auto-Select Reading Passages in English Assessment Tests? arXiv:2205.06961**Bruce W. Lee, Jason H. Lee*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-auto-select-reading-passages-english/)

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lee-2020-lxper-index-2-0-improving/) — LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea