Linguistic Features for Academic Writing: Native vs. Chinese Researcher Comparison

A study by Jiaqi Deng developed a novel multidimensional analysis model for academic writing, identifying 62 linguistic features. The data, last updated in April 2026, compares the writing styles of native English and Chinese researchers across four dimensions, such as academic involvement versus information density. The findings suggest stylistic differences in authorial stance, interaction, and conciseness between the two groups.

Use Cases

• Training models to classify academic writing style based on identified linguistic dimensions.
• Analyzing cross-cultural differences in authorial stance and interaction in research articles.
• Developing educational tools to help non-native writers adapt their style for specific academic genres.

Strengths

• Dataset is based on a defined set of 62 academic English linguistic features.
• The analysis framework yields four interpretable stylistic dimensions for comparison.
• Data is openly shared under a CC-BY-4.0 license.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Jiaqi Deng via figshare.

Collection Method

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

Time Range

null

Freshness

Last updated 2026-04-24 17:28:01; freshness should be verified.

Geography

null