<p>Linguistic features on Dimension 4.</p>

A study by Jiaqi Deng identified 62 academic English linguistic features to develop a multidimensional analysis model for comparing native English and Chinese researchers' writing. The resulting dataset, last updated on April 24, 2026, contains features tagged with an MDA tagger and counted by PatCount software. It yielded four interpretable dimensions describing stylistic differences in academic involvement, argumentation, evaluation, and elaboration.

Use Cases

• Comparing linguistic register variations between native and non-native academic writers based on the 62 identified features.
• Developing novel multidimensional analysis models for academic text based on the proposed tagging method.
• Analyzing stylistic dimensions like 'interactive argumentation vs. static description' in research articles.
• Investigating disciplinary conventions in hard sciences writing based on author stance expression.

Strengths

• Defines 62 specific linguistic features for academic writing analysis.
• Derives four interpretable dimensions from the feature analysis.
• Released under a permissive CC-BY-4.0 license.

Limitations

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

Provenance

Source

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 17:28:03; freshness should be verified.

Geography

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