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Your search for KW:"Educational Applications of Natural Language Processing" returned 16 results.

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  1. Natural Language Processing for Educational Applications

    Author(s): Burstein, Jill ; Sabatini, John P. ; Shore, Jane R.

    Publication Year: 2014

    Source: Mitkov, Ruslan (ed.) The Oxford Handbook of Computational Linguistics, 2nd ed. (Forthcoming)

  2. Speech and Language Processing for Educational Applications

    Author(s): Zechner, Klaus

    Publication Year: 2012

    Source: Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Society: SLTC Newsletter, Nov 2012

  3. Opportunities for Natural Language Processing Research in Education

    Author(s): Burstein, Jill

    Publication Year: 2009

    Source: Lecture Notes in Computer Science: Computational Linguistics and Intelligent Text Processing, v5449, 2009, p6-27

  4. SourceFinder: A Construct-Driven Approach for Locating Appropriately Targeted Reading Comprehension Source Texts

    Author(s): Sheehan, Kathleen M. ; Kostin, Irene W. ; Futagi, Yoko

    Publication Year: 2007

    Source: Proceedings of the 2007 Workshop of the International Speech Communication Association, Special Interest Group on Speech and Language Technology in Education, p80-83

  5. The Automated Text Adaptation Tool

    Author(s): Burstein, Jill ; Shore, Jane R. ; Sabatini, John P. ; Lee, Yong-Won ; Ventura, Matthew

    Publication Year: 2007

    Source: Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations on XX, Rochester, NY, Apr 23 - 25, 2007. Morristown, NJ: Associaion of Computational Linguistics, 2007, p3-4

  6. Automated Grammatical Error Detection for Language Learners

    Author(s): Leacock, Claudia ; Chodorow, Martin ; Gamon, Michael ; Tetreault, Joel

    Publication Year: 2010

    Source: Book; San Rafael, CA: Morgan & Claypool Publishers

  7. A Two-Stage Approach for Generating Unbiased Estimates of Text Complexity

    Author(s): Sheehan, Kathleen M. ; Flor, Michael ; Napolitano, Diane

    Publication Year: 2013

    Source: Proceedings of the 2nd Workshop of Natural Language Processing for Improving Textual Accessibility (NLP4ITA), 2013, p49-58

  8. Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System

    Author(s): Han, Na-Rae ; Tetreault, Joel R. ; Lee, Soo-Hwa ; Ha, Jin-Young

    Publication Year: 2010

    Source: Proceedings of the International Conference on Language Resources and Evaluation (LREC). European Language Resources Association, 2010

  9. Item Distiller: Text Retrieval for Computer-Assisted Test Item Creation

    Author(s): Higgins, Derrick

    Publication Year: 2007

    Source: ETS Research Memorandum

  10. Item Generation: Implications for a Validity Argument

    Author(s): Bejar, Isaac I.

    Publication Year: 2013

    Source: Gierl, Mark J.; Haladyna, Thomas M. (eds.) Automatic Item Generation: Theory and Practice. New York: Routledge, 2013, p40-55

  11. The Utility of Article and Preposition Error Correction Systems for English Language Learners: Feedback and Assessment

    Author(s): Chodorow, Martin ; Gamon, Michael ; Tetreault, Joel R.

    Publication Year: 2010

    Source: Language Testing, v27 n3 p419-436, 2010

  12. A User Study: Technology to Increase Teachers' Linguistic Awareness to Improve Instructional Language Support for English Language Learners

    Author(s): Burstein, Jill ; Sabatini, John P. ; Shore, Jane R. ; Moulder, Bradley C. ; Lentini, Jennifer

    Publication Year: 2013

    Source: Proceedings of the 2nd Workshop of Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Atlanta, GA, June 14 2013, p1-10

  13. A Framework for Evaluation and Use of Automated Scoring

    Author(s): Williamson, David M. ; Xi, Xiaoming ; Breyer, F. Jay

    Publication Year: 2012

    Source: Educational Measurement: Issues and Practice, v31 n1 p2-13, Spr 2012

  14. The Ups and Downs of Preposition Error Detection in ESL Writing

    Author(s): Tetreault, Joel R. ; Chodorow, Martin

    Publication Year: 2008

    Source: Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, p865-872, Aug 2008

  15. When Do Standard Approaches for Measuring Vocabulary Difficulty, Syntactic Complexity and Referential Cohesion Yield Biased Estimates of Text Difficulty?

    Author(s): Sheehan, Kathleen M. ; Kostin, Irene W. ; Futagi, Yoko

    Publication Year: 2009

    Source: Proceedings of the 30th Annual Meeting of the Cognitive Science Society, p1978-1983

  16. Difficulty Modeling and Automatic Generation of Quantitative Items: Recent Advances and Possible Next Steps

    Author(s): Graf, Edith Aurora ; Fife, James H.

    Publication Year: 2013

    Source: Gierl, Mark J.; Haladyna, Thomas M. (eds.) Automatic Item Generation: Theory and Practice. New York: Routledge, 2013, p157-179

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