Reading level assessment using support vector machines and statistical language models

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2005, Pages 523-530

  Schwarm, Sarah E ^a   Ostendorf, Mari ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SUPPORT VECTOR MACHINES;

FUNDAMENTAL COMPONENT; LANGUAGE PROCESSING; NATURAL LANGUAGE PROCESSING; PILOT EXPERIMENT; READING LEVEL; READING PROFICIENCY; SECOND LANGUAGE LEARNERS; STATISTICAL LANGUAGE MODELS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77955117737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219905     Document Type: Conference Paper

References (27)

1. R. Barzilay and N. Elhadad. Sentence alignment for monolingual comparable corpora. In Proc. of EMNLP, pages 25-32, 2003.
2. C. Boulis and M. Ostendorf. Text classification by augmenting the bag-of-words representation with redundancycompensated bigrams. Workshop on Feature Selection in Data Mining, in conjunction with SIAM conference on Data Mining, 2005.
3. P. Bylsma, L. Ireland, and H. Malagon. Educating English Language Learners in Washington State. Office of the Superintendent of Public Instruction, Olympia, WA, 2003.
4. J.S. Chall and E. Dale. Readability revisited: the new Dale-Chall readability formula. Brookline Books, Cambridge, Mass., 1995.
5. E. Charniak. A maximum-entropy-inspired parser. In Proc. of NAACL, pages 132-139, 2000.
6. C. Chelba and F. Jelinek. Structured Language Modeling. Computer Speech and Language, 14(4):283-332, 2000.
7. S. Chen and J. Goodman. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, 13(4):359-393, 1999.
8. K. Collins-Thompson and J. Callan. A language modelingapproach to predicting reading difficulty. In Proc. of HLT/NAACL, pages 193-200, 2004.
9. R. Gunning. The technique of clear writing. McGraw-Hill, New York, 1952.
10. C.-W. Hsu et al. A practical guide to support vector classification. http://www.csie.ntu.edu.tw/.cjlin/papers/guide/guide.pdf, 2003. Accessed 11/2004.
11. T. Joachims. Text categorization with support vector machines: learning with many relevant features. In Proc. of the European Conference on Machine Learning, pages 137-142, 1998a. (Pubitemid 128067178)
12. T. Joachims. Making large-scale support vector machine learning practical. In Advances in Kernel Methods: Support Vector Machines. B. Schölkopf, C. Burges, A. Smola, eds. MIT Press, Cambridge, MA, 1998b.
13. J.P. Kincaid, Jr., R.P. Fishburne, R.L. Rodgers, and B.S. Chisson. Derivation of new readability formulas for Navy enlisted personnel. Research Branch Report 8-75, U.S. Naval Air Station, Memphis, 1975.
14. Y.-B. Lee and S.H. Myaeng. Text genre classification with genre-revealing and subject-revealing features. In Proc. of SIGIR, pages 145-150, 2002.
15. The Lexile framework for reading. http://www.lexile. com, 2005. Accessed April 15, 2005.
16. A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki. The DET curve in assessment of detection task performance. Proc. of Eurospeech, v. 4, pp. 1895-1898,1997.
17. A. Ratnaparkhi. A maximum entropy part-of-speech tagger. In Proc. of EMNLP, pages 133-141, 1996.
18. B. Roark. Probabilistic top-down parsing and language modeling. Computational Linguistics, 27(2):249-276, 2001. (Pubitemid 33597448)
19. L. Si and J.P. Callan. A statistical model for scientific readability. In Proc. of CIKM, pages 574-576, 2001. (Pubitemid 34974690)
20. A.J. Stenner. Measuring reading comprehension with the Lexile framework. Presented at the Fourth North American Conference on Adolescent/Adult Literacy, 1996.
21. A. Stolcke. SRILM - an extensible language modeling toolkit. Proc. ICSLP, v. 2, pp. 901-904, 2002.
22. U.S. Department of Education, National Center for Educational Statistics. The condition of education. http://nces.ed.gov/programs/coe/2003/section1/ indicator04.asp, 2003. Accessed June 18, 2004.
23. U.S. Department of Education, National Center for Educational Statistics. NCES fast facts: Bilingual education/Limited English Proficient students. http://nces.ed.gov/fastfacts/display.asp?id=96, 2003. Accessed June 18, 2004.
24. V. Vapnik. The Nature of Statistical Learning Theory. Springer, New York, 1995.
25. The Washington Post. http://www.washingtonpost. com, 2005. Accessed April 20, 2005.
26. Weekly Reader. http://www.weeklyreader.com,2004. Accessed July, 2004.
27. Western/Pacific Literacy Network / Literacyworks. CNN SF learning resources. http://literacynet.org/cnnsf/, 2004. Accessed June 15, 2004.