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] Along with Coh-Metrix, the L2SCA is one of the most extensively used computational tool to compute indices of second language writing development. The L2SCA is also widely utilised in the field of corpus linguistics.[2]
Usage
Second language writing development
The L2SCA has been used in numerous studies in the field of second language writing development to compute indices of syntactic complexity. [3][4][5]
Corpus linguistics
The L2SCA has also been used in various studies in the field of corpus linguistics. [6]
Indices
| No. | Construct | Index | |
|---|---|---|---|
| 1. | Word count | W | |
| 2. | Sentence | S | |
| 3. | Verb phrase | VP | |
| 4. | Clause | C | |
| 5. | T-unit | T | |
| 6. | Dependent clause | DC | |
| 7. | Complex T-unit | CT | |
| 8. | Coordinate phrase | CP | |
| 9. | Complex nominal | CN | |
| 10. | Length of production units | Mean length of sentence | MLS |
| 11. | Length of production units | Mean length of T-unit | MLT |
| 12. | Length of production units | Mean length of clause | MLC |
| 13. | Clause per sentence | C/S | |
| 14. | Verb phrase per T-unit | V/T | |
| 15. | Clause per T-unit | C/T | |
| 16. | Subordination | Dependent clause per clause | DC/C |
| 17. | Subordination | Dependent clause per T-unit | DC/T |
| 18. | Clausal coordination | T-unit per sentence | T/S |
| 19. | Complex T-unit ratio | CT/T | |
| 20. | Phrasal coordination | Coordinate phrase per T-unit | CP/T |
| 21. | Phrasal coordination | Coordinate phrase per clause | CP/C |
| 22. | Phrasal complexity | Complex nominal per T-unit | CN/T |
| 23. | Phrasal complexity | Complex nominal per clause | CN/C |
See also
References
- ^ "L2 Syntactic Complexity Analyzer". Aihaiyang.com. 12 September 2018.
- ^ "Computational Methods for Corpus Annotation and Analysis". Springer Publishing. 12 September 2018.
- ^ "Diane Mazgutova & Judit Kormos: Syntactic and lexical development in an intensive English for Academic Purposes programme". Journal of Second Language Writing. 12 September 2018.
- ^ "Junping Hou, Marjolijn Verspoor & Hanneke Loerts: An exploratory study into the dynamics of Chinese L2 writing development". Dutch Journal of Applied Linguistics. 12 September 2018.
- ^ "Attila M. Wind: Second language writing development from a Dynamic Systems Theory perspective" (PDF). Lancaster University. 12 September 2018.
- ^ "Nasseri: A Corpus-based Analysis of Syntactic Complexity measures in the Academic Writing of EFL, ESL, and Native English Master's Students" (PDF). Birmingham.ac.uk. 12 September 2018.
{{cite web}}: line feed character in|title=at position 70 (help)
See also
External links
 | This computational linguistics-related article is a stub. You can help Wikipedia by expanding it. |