Assessing the reading level of web pages

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2, Issue , 2006, Pages 833-836

  Petersen, Sarah E ^a   Ostendorf, Mari ^a  

^a University of Washington   (United States)

Author keywords

Reading level assessment; SVMs; Web pages

Indexed keywords

EDUCATION; SEARCH ENGINES; TEACHING; WEB CRAWLER;

ASSESSMENT TOOL; ELEMENTARY SCHOOLS; LARGE AMOUNTS; READING LEVEL; SVMS;

WEBSITES;

EID: 43849096558     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Brown, J., and Eskenazi, M., "Retrieval of Authentic Documents for Reader-Specific Lexical Practice", Proc. INSTIL, 2004.
2. Collins-Thompson, K. and Callan, J., "Predicting reading difficulty with statistical language models," Journal of the American Society for Information Science and Technology, 56(13):1448-1462, 2005.
3. Drucker, H., Shahrary, B. and Gibbon, D., "Relevance feedback using support vector machines", Proc. ICML, 122-129, 2001.
4. Joachims, T., "Making large-scale support vector machine learning practical", Advances in Kernel Methods: Support Vector Machines, B. Schölkopf, C. Burges, A. Smola, eds. MIT Press, Cambridge, MA, 1999.
5. McCallum, A. K., "Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering." http://www.cs.cmu.edu/ mccallum/bow. 1996.
6. Petersen, S. E. and Ostendorf, M., "A machine learning approach to reading level assessment," University of Washington CSE Technical Report 2006-06-06.
7. Ratnaparkhi, A., "A maximum entropy part-of-speech tagger", Proc. of EMNLP, 133-141, 1996.
8. Schwarm, S. E. and Ostendorf, M., "Reading level assessment using support vector machines and statistical language models", Proc. ACL, 523-530, 2005.
9. Sethy, A., Georgiou, P. G., and Narayanan, S., "Building topic specific language models from webdata using competitive models", Proc. INTERSPEECH, 1293-1296, 2005.
10. Stenner, A. J., "Measuring reading comprehension with the Lexile framework", Presented at the Fourth North American Conference on Adolescent/Adult Literacy, 1996.
11. Tong, S. and Koller, D., "Support vector machine active learning with applications to text classification", Journal of Machine Learning Research, 2(Nov):45-66, 2001.
12. U.S. Department of Education, National Center for Educational Statistics, The Condition of Education, 2005. http://nces.ed.gov/pubs2005/2005094.pdf, 2005. Accessed November 17, 2005.
13. Weekly Reader, http://www.weeklyreader.com, 2004. Accessed July, 2004.
14. Yang, Y. and Pedersen, J., "A comparative study on feature selection in text categorization", Proc. ICML, 412-420, 1997.