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January 1, 2026International Journal of Information and Communication TechnologyOpen Access

Counterfactual causal inference for attribution of L2 Chinese grammatical errors

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Key Points

The study aims to explore how counterfactual causal inference can help in understanding and attributing grammatical errors in second language (L2) Chinese.
Utilized counterfactual causal inference models to analyze errors
Focused on grammatical errors made by L2 Chinese learners
Involved multiple formal assessments of language proficiency
Identified key patterns in common grammatical errors among L2 learners
Showed significant differences in error types using counterfactual approaches
Suggests that traditional methods may overlook causal relationships leading to errors.

Implication

Examines grammatical errors in L2 Chinese, suggesting new attribution methods may enhance learning.

Abstract

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Cite This Study

Hongbo Ma (2026) studied this question.

synapsesocial.com/papers/69edad8f4a46254e215b526f https://doi.org/10.1504/ijict.2026.10077934

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