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L2 Syntactic Complexity Analyzer

In the modern world, L2 Syntactic Complexity Analyzer has become a topic of increasing interest to a wide spectrum of people. From experts in the field to those who know little about the subject, L2 Syntactic Complexity Analyzer has captured everyone's attention. With the rapid evolution of technology and society, L2 Syntactic Complexity Analyzer has become relevant in various aspects of daily life. In this article, we will explore in depth the complexities and dimensions of L2 Syntactic Complexity Analyzer, analyzing its impact in different areas and offering a comprehensive overview of this intriguing issue.

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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] The L2SCA is available in a single and a batch mode. The first provides the possibility of analyzing a single written text for 14 syntactic complexity indices.[3] The latter allows the user to analyze 30 written texts simultaneously.

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.[4][5][6]

Corpus linguistics

The L2SCA has also been used in various studies in the field of corpus linguistics.[7][8]

Indices

No. Construct Index Abbr.1
1. Syntactic structures 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. Syntactic complexity indices Length of production units Mean length of sentence MLS
11. Mean length of T-unit MLT
12. Mean length of clause MLC
13. Overall sentence complexity Clause per sentence C/S
14. Amounts of subordination Clause per T-unit C/T
15. Complex T-unit ratio CT/T
16. Dependent clause per clause DC/C
17. Dependent clause per T-unit DC/T
18. Amounts of coordination Coordinate phrase per clause CP/C
19. Coordinate phrase per T-unit CP/T
20. T-unit per sentence T/S
21. Phrasal sophistication Complex nominal per clause CN/C
22. Complex nominal per T-unit CN/T
23. Verb phrase per T-unit V/T
Notes
  • Note 1: Abbreviation

See also

References

  1. ^ "L2 Syntactic Complexity Analyzer". Aihaiyang.com. 12 September 2018.
  2. ^ Computational Methods for Corpus Annotation and Analysis. Springer Publishing. 12 September 2018. ISBN 9789401786447.
  3. ^ Kyle, Kristopher; Crossley, Scott (2017-10-20). "Assessing syntactic sophistication in L2 writing: A usage-based approach". Language Testing. 34 (4): 513–535. doi:10.1177/0265532217712554. ISSN 0265-5322. S2CID 149239304.
  4. ^ "Diane Mazgutova & Judit Kormos: Syntactic and lexical development in an intensive English for Academic Purposes programme" (PDF). Journal of Second Language Writing. 29: 3–15. 12 September 2018. doi:10.1016/j.jslw.2015.06.004.
  5. ^ Hou, Junping; Verspoor, Marjolijn; Loerts, Hanneke (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. 5: 65–96. doi:10.1075/dujal.5.1.04loe.
  6. ^ "Attila M. Wind: Second language writing development from a Dynamic Systems Theory perspective" (PDF). Lancaster University. 12 September 2018.
  7. ^ "Lu & Ai: Syntactic complexity in college-level English writing: Differences among writers with diverse L1 backgrounds". Journal of Second Language Writing. 29: 16–27. September 2015. doi:10.1016/j.jslw.2015.06.003.
  8. ^ "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.


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