L2 Syntactic Complexity Analyzer
It is proposed that this article be deleted because of the following concern:
If you can address this concern by improving, copyediting, sourcing, renaming, or merging the page, please edit this page and do so. You may remove this message if you improve the article or otherwise object to deletion for any reason. Although not required, you are encouraged to explain why you object to the deletion, either in your edit summary or on the talk page. If this template is removed, do not replace it. This message has remained in place for seven days, so the article may be deleted without further notice. Find sources: "L2 Syntactic Complexity Analyzer" – news · newspapers · books · scholar · JSTOR Nominator: Please consider notifying the author/project: {{subst:proposed deletion notify|L2 Syntactic Complexity Analyzer|concern=No indication of notability}} ~~~~Timestamp: 20180912110231 11:02, 12 September 2018 (UTC) Administrators: delete |
L2 Syntactical Complexity Analyzer (L2SCA) developed by Xiaofei Lu at the Pennsylvania State University, is a computational tool which produces syntactic complexity indices of written English language texts.[1]
Indices
| No. | Construct | Index |
|---|---|---|
| 1. | Word count | |
| 2. | Sentence | |
| 3. | Verb phrase | |
| 4. | Clause | |
| 5. | T-unit | |
| 6. | Dependent clause | |
| 7. | Complex T-unit | |
| 8. | Coordinate phrase | |
| 9. | Complex nominal | |
| 10. | Mean lenght of sentence | |
| 11. | Mean lenght of T-unit | |
| . |
References
- ^ "L2 Syntactic Complexity Analyzer". Aihaiyang.com. 12 September 2018.
See also
External links
 | This computational linguistics-related article is a stub. You can help Wikipedia by expanding it. |