Study-Chinese

An analysis of Chinese Spelling Correction models, highlighting the overfitting of error models and underfitting of language models in BERT, with a proposed random masking strategy for improved generalization.

A novel approach to Chinese Spelling Correction (CSC) that treats correction as a sentence rephrasing task, overcoming limitations of sequence tagging methods and achieving state-of-the-art results.

Explores practical applications of the Unix DIFF utility for NLP tasks like difference detection, rule extraction, data merging, and optimal matching.

An analysis of fairness in predictive models for second-language learning, evaluating bias across device platforms and country development levels using the Duolingo dataset.

A qualitative study on the effectiveness of Little Fox Chinese video as supplementary media to enhance Mandarin vocabulary mastery and student engagement in elementary school.

Analysis of using specific prompts with Large Language Models (LLMs) like ChatGPT to target CEFR and EBCL levels (A1, A1+, A2) for personalized Chinese language learning.

Research paper analyzing cross-linguistic transfer in language models using BERT architecture and child-directed speech data for SLA simulation.

Analysis of a research paper investigating the impact of Virtual Reality simulations on student motivation in foreign language acquisition, including methodology, results, and future implications.