Linguistic Features for Academic Writing Analysis: Native vs. Chinese Researchers

Jiaqi Deng's dataset contains 62 tagged linguistic features used in a multidimensional analysis (MDA) model to compare academic writing styles. The data, last updated in April 2026, is stored in an XLS file and is 5.5 KB in size. It was created to distinguish the writing of native English and Chinese researchers across four identified dimensions.

Use Cases

• Training models to classify academic writing style based on identified linguistic features.
• Analyzing cross-cultural differences in authorial stance and interaction in research articles.
• Developing novel MDA frameworks for specific research genres based on the proposed tagging method.

Strengths

• Dataset is based on 62 specifically identified academic English linguistic features.
• The MDA model yielded four interpretable dimensions of stylistic variation.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size suggests a very limited scope of data points.

Provenance

Source

Jiaqi Deng via figshare

Collection Method

Linguistic features were tagged with an MDA tagger and counted by PatCount software.

Time Range

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Freshness

Last updated 2026-04-24 17:28:00; freshness should be verified.

Geography

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