Papers by Mengyang Qiu
Improving Automatic Grammatical Error Annotation for Chinese Through Linguistically-Informed Error Typology (2025.coling-main)
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| Challenge: | In educational settings, GEC systems provide immediate and consistent feedback to both native (L1) and non-native (L2) language learners. |
| Approach: | They propose a framework that provides detailed feedback on 12-16% of all errors by identifying them under a new error typology, specific enough to uncover subtle differences in error patterns between L1 and L2 writings. |
| Outcome: | The proposed framework can provide detailed feedback on 12-16% of all errors, revealing subtle differences in error patterns between L1 and L2 writings. |
Refined Evaluation for End-to-End Grammatical Error Correction Using an Alignment-Based Approach (2025.coling-main)
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| Challenge: | errant is a new evaluation tool that can be used to evaluate end-to-end grammatical error correction systems. |
| Approach: | They propose a method to assess end-to-end grammatical error correction systems using alignment-based alignment methods that reproduce and improve results from existing evaluation tools. |
| Outcome: | The proposed method reproduces and improves results from existing evaluation tools, such as errant, even when applied to raw text input. |
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency (2024.lrec-main)
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| Challenge: | generative LLMs have been known for overcorrection where results obtain higher recall measures than precision measures. |
| Approach: | They propose to use generative LLMs to prompt grammatical error correction using a model based on language proficiency to examine the interaction between LLM's performance and L2 language proficiency. |
| Outcome: | The proposed model improves on zero-shot and few-shot prompting and fine-tuning models for grammatical error correction for learners of English as a foreign language based on the different proficiency levels. |