Linguistic Feature Counts for Academic Writing Analysis of Native and Chinese Researchers

A dataset of 62 tagged academic English linguistic features, used to develop a multi-dimensional analysis model for comparing native English and Chinese researchers' writing. The dataset was created by Jiaqi Deng and last updated on 2026-04-24. It is a small dataset of 5.5 KB, stored in an XLS file.

Use Cases

• Developing novel multi-dimensional analysis models for academic writing based on the described 62 linguistic features.
• Comparing linguistic and register variations between native and non-native academic writing styles.
• Training models to distinguish native English and Chinese researchers' research article writing.
• Analyzing dimensions of academic writing such as involvement, argumentation, evaluation, and style.

Strengths

• Includes 62 specifically identified academic English linguistic features.
• Provides a novel methodological approach for tagging linguistic features in MDA research.
• Dataset 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 dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

figshare, author Jiaqi Deng.

Collection Method

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

Time Range

null

Freshness

Last updated 2026-04-24 17:27:57; freshness should be verified.

Geography

null