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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2013: Computational Linguistics and Intelligent Text Processing pp 501–512Cite as

The Impact of Lexical Simplification by Verbal Paraphrases for People with and without Dyslexia

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7817))

Abstract

Text simplification is the process of transforming a text into an equivalent which is easier to read and to understand, preserving its meaning for a target population. One such population who could benefit from text simplification are people with dyslexia. One of the alternatives for text simplification is the use of verbal paraphrases. One of the more common verbal paraphrase pairs are the one composed by a lexical verb (to hug) and by a support verb plus a noun collocation (to give a hug). This paper explores how Spanish verbal paraphrases impact the readability and the comprehension of people with and without dyslexia dyslexia. For the selection of pairs of verbal paraphrases we have used the Badele.3000 database, a linguistic resource composed of more than 3,600 verbal paraphrases. To measure the impact in reading performance and understandability, we performed an eye-tracking study including comprehension questionnaires. The study is based on a group of 46 participants, 23 with confirmed dyslexia and 23 control group. We did not find significant effects, thus tools that can perform this kind of paraphrases automatically might not have a large effect on people with dyslexia. Therefore, other kinds of text simplification might be needed to benefit readability and understandability of people with dyslexia.

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References

  1. Al-Wabil, A., Zaphiris, P., Wilson, S.: Web navigation for individuals with dyslexia: an exploratory study. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 593–602. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Barrios, M.A.: El dominio de la funciones léxicas en el marco de la Teoría Sentido-Texto. Estudios de Lingüística del Español (ELiEs) 30 (2010)

    Google Scholar 

  3. Barrios, M.A., Aguado de Cea, G., Ramos, J.A.: Enriching a lexicographic tool with domain definition problems and solutions. In: Sierra, G., Pozzi, M., Torres, J. (eds.) 1st International Workshop on Definition Extraction, RANLP 2009, Bulgaria, INCOMA Ltd, Shoumen (2009)

    Google Scholar 

  4. Barrios Rodríguez, M., Rello, L.: False paraphrase pairs in Spanish for verbs and verb + noun collocations. Procesamiento del Lenguaje Natural 46, 107–112 (2011)

    Google Scholar 

  5. Barzilay, R., Elhadad, N., McKeown, K.R.: Inferring strategies for sentence ordering in multidocument news summarization. Journal of Artificial Intelligence Research 17, 35–55 (2002)

    MATH  Google Scholar 

  6. Bott, S., Rello, L., Drndarevic, B., Saggion, H.: Can Spanish be simpler? LexSiS: Lexical simplification for Spanish. In: Proceedings of the 24th International Conference on Computational Linguistics (Coling 2012), Mumbai, India (December 2012)

    Google Scholar 

  7. Bott, S., Saggion, H.: Text simplification tools for Spanish. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), ELRA, Istanbul (2012)

    Google Scholar 

  8. Caramazza, A.: How many levels of processing are there in lexical access? Cognitive Neuropsychology 14(1), 177–208 (1997)

    Article  Google Scholar 

  9. Caramazza, A., Laudanna, A., Romani, C.: Lexical access and inflectional morphology. Cognition 28(3), 297–332 (1988)

    Article  Google Scholar 

  10. Carroll, J., Minnen, G., Canning, Y., Devlin, S., Tait, J.: Practical simplification of English newspaper text to assist aphasic readers. In: Proceedings of the AAAI 1998 Workshop on Integrating Artificial Intelligence and Assistive Technology, pp. 7–10. Citeseer (1998)

    Google Scholar 

  11. Carroll, J., Minnen, G., Pearce, D., Canning, Y., Devlin, S., Tait, J.: Simplifying text for language-impaired readers. In: Proceedings of EACL, pp. 269–270 (1999)

    Google Scholar 

  12. Cutting, L., Materek, A., Cole, C., Levine, T., Mahone, E.: Effects of fluency, oral language, and executive function on reading comprehension performance. Annals of Dyslexia 59(1), 34–54 (2009)

    Article  Google Scholar 

  13. Devlin, S., Unthank, G.: Helping aphasic people process online information. In: Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 225–226. ACM (2006)

    Google Scholar 

  14. Dixon, M.: Comparative study of disabled vs. non-disabled evaluators in user-testing: dyslexia and first year students learning computer programming. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 647–656. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Drndarevic, B., Saggion, H.: Towards automatic lexical simplification in Spanish: an empirical study. In: Proceedings of the NAACL HLT 2012 Workshop Predicting and Improving Text Readability for Target Reader Populations, PITR 2012 (2012)

    Google Scholar 

  16. Evett, L., Brown, D.: Text formats and web design for visually impaired and dyslexic readers-clear text for all. Interacting with Computers 17, 453–472 (2005)

    Article  Google Scholar 

  17. Huenerfauth, M., Feng, L., Elhadad, N.: Comparing evaluation techniques for text readability software for adults with intellectual disabilities. In: Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 3–10. ACM (2009)

    Google Scholar 

  18. Hyönä, J., Olson, R.: Eye fixation patterns among dyslexic and normal readers: Effects of word length and word frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition 21(6), 1430 (1995)

    Article  Google Scholar 

  19. Interagency Commission on Learning Disabilities: Learning Disabilities: A Report to the U.S. Congress. Government Printing Office, Washington DC, U.S (1987)

    Google Scholar 

  20. International Dyslexia Association: Definition of dyslexia, http://interdys.org/DyslexiaDefinition.htm (2011); Based in the initial definition of the Research Committee of the Orton Dyslexia Society, former name of the IDA, done in 1994

  21. Inui, K., Fujita, A., Takahashi, T., Iida, R., Iwakura, T.: Text simplification for reading assistance: A project note. In: Proceedings of the Second International Workshop on Paraphrasing, vol. 16, pp. 9–16. Association for Computational Linguistics (2003)

    Google Scholar 

  22. Just, M., Carpenter, P.: A theory of reading: From eye fixations to comprehension. Psychological Review 87, 329–354 (1980)

    Article  Google Scholar 

  23. Lyons, J.: Semantics, vol. 2. Cambridge Univ. Pr. (1977)

    Google Scholar 

  24. Madnani, N., Dorr, B.J.: Generating phrasal and sentential paraphrases: A survey of data-driven methods. Computational Linguistics 36(3), 341–387 (2010)

    Article  MathSciNet  Google Scholar 

  25. Nation, K., Snowling, M.: Individual differences in contextual facilitation: Evidence from dyslexia and poor reading comprehension. Child Development 69(4), 996–1011 (1998)

    Google Scholar 

  26. Patterson, K., Marshall, J., Coltheart, M.: Surface dyslexia: Neuropsychological and cognitive studies of phonological reading. Lawrence Erlbaum Associates, London (1985)

    Google Scholar 

  27. Pedley, M.: Designing for dyslexics: Part 3 of 3 (2006), http://accessites.org/site/2006/11/designing-for-dyslexics-part-3-of-3

  28. Rayner, K., Duffy, S.: Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity. Memory & Cognition 14(3), 191–201 (1986)

    Article  Google Scholar 

  29. Rello, L., Baeza-Yates, R.: Lexical quality as a proxy for web text understandability. In: The 21st International World Wide Web Conference (WWW 2012), Lyon, France (April 2012)

    Google Scholar 

  30. Rello, L., Baeza-Yates, R.: The presence of English and Spanish dyslexia in the Web. New Review of Hypermedia and Multimedia 8, 131–158 (2012)

    Article  Google Scholar 

  31. Rello, L., Baeza-Yates, R., Saggion, H., Graells, E.: Graphical schemes may improve readability but not understandability for people with dyslexia. In: Proceedings of the NAACL HLT 2012 Workshop Predicting and Improving text Readability for Target Reader Populations, PITR 2012 (2012)

    Google Scholar 

  32. Rello, L., Kanvinde, G., Baeza-Yates, R.: Layout guidelines for web text and a web service to improve accessibility for dyslexics. In: International Cross Disciplinary Conference on Web Accessibility (W4A 2014). ACM Press, Lyon (2012)

    Google Scholar 

  33. Saggion, H., Martínez, E., Etayo, E., Anula, A., Bourg, L.: Text simplification in Simplext. Making text more accessible. Procesamiento de Lenguaje Natural 47, 341–342 (2011)

    Google Scholar 

  34. Sereno, S., Rayner, K.: Measuring word recognition in reading: eye movements and event-related potentials. Trends in Cognitive Sciences 7(11), 489–493 (2003)

    Article  Google Scholar 

  35. Simmons, F., Singleton, C.: The reading comprehension abilities of dyslexic students in higher education. Dyslexia 6(3), 178–192 (2000)

    Article  Google Scholar 

  36. Sinatra, R., Stahl-Gemake, J., Berg, D.: Improving reading comprehension of disabled readers through semantic mapping. The Reading Teacher 38(1), 22–29 (1984)

    Google Scholar 

  37. Sterling, C., Farmer, M., Riddick, B., Morgan, S., Matthews, C.: Adult dyslexic writing. Dyslexia 4(1), 1–15 (1998)

    Article  Google Scholar 

  38. Tobii Technology: Product description Tobii 50 Series (2005)

    Google Scholar 

  39. Vellutino, F., Fletcher, J., Snowling, M., Scanlon, D.: Specific reading disability (dyslexia): What have we learned in the past four decades? Journal of Child Psychology and Psychiatry 45(1), 2–40 (2004)

    Article  Google Scholar 

  40. Williams, S., Reiter, E., Osman, L.: Experiments with discourse-level choices and readability. In: Proceedings of the 9th European Workshop on Natural Language Generation (ENLG 2003), Budapest, Hungary (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Web Research Group, Dept. of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain

    Luz Rello & Ricardo Baeza-Yates

  2. Natural Language Processing Research Group, Dept. of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain

    Luz Rello & Horacio Saggion

  3. Yahoo! Research, Barcelona, Spain

    Ricardo Baeza-Yates

Authors
  1. Luz Rello
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  2. Ricardo Baeza-Yates
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  3. Horacio Saggion
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, Mexico D.F., Mexico

    Alexander Gelbukh

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Rello, L., Baeza-Yates, R., Saggion, H. (2013). The Impact of Lexical Simplification by Verbal Paraphrases for People with and without Dyslexia. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37256-8_41

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  • DOI: https://doi.org/10.1007/978-3-642-37256-8_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37255-1

  • Online ISBN: 978-3-642-37256-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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