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Towards an Automatic Easy-to-Read Adaptation of Morphological Features in Spanish Texts

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Abstract

The Easy-to-Read (E2R) Methodology was created to improve the daily life of people with cognitive disabilities. This methodology aims to present clear and easily understood documents. The E2R Methodology includes, among others, a set of guidelines related to the writing of texts. Some of these guidelines focus on morphological features that may cause difficulties in reading comprehension. Examples of those guidelines are: (a) to avoid the use of adverbs ending in -mente (-ly in English), and (b) to avoid the use of superlative forms. Both linguistic structures are quite long, which is also related to another E2R guideline (“The use of long words should be avoided”). Currently, E2R guidelines are applied manually to create easy-to-read text materials. To help in such a manual process, our research line is focused on applying the E2R Methodology in Spanish texts in a (semi)-automatic fashion. Specifically, in this paper we present (a) the inclusive design approach for the development of E2R adaptation methods for avoiding adverbs ending in -mente and superlative forms, (b) the initial methods for adapting those morphological features to an E2R version, and (c) a preliminary user-based evaluation of the implementation of those methods.

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Notes

  1. 1.

    We are investigating both the symbolic and subsymbolic approaches in AI.

  2. 2.

    Human knowledge is explicitly represented in a declarative form (e.g. facts and rules). This way to proceed is part of the so-called symbolic AI.

  3. 3.

    Translation: Voters went massively to the polls.

  4. 4.

    Translation: deliberately, negligently, (un)consciously.

  5. 5.

    Translation: He sliced the cake deeply.

  6. 6.

    Translation: arduously, difficultly, painfully, easily.

  7. 7.

    Both suffixes express the same superlative feature. However, superlatives ending in -ísimo/a are widespread used in comparison to those in -érrimo/a. The suffixes -ísimo and -érrimo refer to the masculine gender, while -ísima and -érrima to the feminine gender. (Henceforth, we will use the slash symbol (/) to include both genders).

  8. 8.

    In the colloquial register it is common to use the suffix -ísimo/a in elative adjectives to focus on the meaning of the adjective, so we can find this type of structures in spoken language, even though they are non-normative. (Henceforth, the asterisk symbol (*) will be used to indicate ungrammatical or non-normative structures).

  9. 9.

    Linguistic term for a word with stress on the antepenultimate (third last) syllable such as the words in English cinema and operational.

  10. 10.

    The main actors who affect and/or are affected by our research line on cognitive accessibility are people with cognitive disabilities and E2R experts.

  11. 11.

    Questionnaires are available at https://doi.org/10.5281/zenodo.8018593.

  12. 12.

    Plena Inclusion España, an associative movement who fights in Spain for the rights of people with intellectual or development disabilities and their families, played the key role of (a) finding federations willing to participate in the user study and (b) distributing the information about this research work through those federations.

  13. 13.

    https://hispanismo.cervantes.es/recursos/coser-corpus-oral-sonoro-del-espanol-rural.

  14. 14.

    http://lablita.it/app/cordial/corpus.php.

  15. 15.

    https://www.wordreference.com/.

  16. 16.

    https://synonyms.reverso.net/sinonimo/.

  17. 17.

    Autonomic Federations from Andalucía, Comunidad Valenciana and Madrid played the crucial role of distributing the goal of this user study as well as the link to the questionnaire through different organisations of people with cognitive disabilities.

  18. 18.

    The level of comprehension is based on a self-assessment question.

  19. 19.

    4.3% of the participants declined to provide their level, while 2.9% did not know it.

  20. 20.

    1.7% of the participants declined to provide their level, while 0.8% did not know about their level and 2.5% did not know how to read.

  21. 21.

    https://www.rae.es/banco-de-datos/corpes-xxi.

  22. 22.

    The analysis and aggregation of ratings was performed manually grouping the different percentages of response types (no statistical analysis tool was used). Data gathered from the questionnaires are available at https://doi.org/10.5281/zenodo.8018593.

  23. 23.

    Translation: Antonio writes correctly, without spelling mistakes.

  24. 24.

    Translation: Antonio writes in a correct way, without spelling mistakes.

  25. 25.

    Translation: The painters will probably need more paint cans.

  26. 26.

    Translation: Painters may need more cans of paint.

  27. 27.

    Translation: María attends Spanish classes only one day a week.

  28. 28.

    Translation: María attends Spanish classes one day a week.

  29. 29.

    Translation: Formerly, children entered school at the age of 6.

  30. 30.

    Translation: Earlier, children entered school at the age of 6.

  31. 31.

    The regions of Galicia and Cataluña have not been considered as there is only one participant for each.

  32. 32.

    Translation: Alba’s father-in-law is very happy.

  33. 33.

    Translation: Alba’s father-in-law is happy.

  34. 34.

    Translation: Ana is gorgeous.

  35. 35.

    Translation: Ana is very pretty.

  36. 36.

    The regions of Galicia, Cataluña, Castilla y León, and Extremadura have not been considered as there is only one participant for each.

  37. 37.

    Services are not currently available due to privacy constrains in the context of the project in which they has been developed.

  38. 38.

    http://librairy.linkeddata.es/nlp/api.html.

  39. 39.

    https://ayuntamientoboadilladelmonte.org/tu-ayuntamiento/gobierno-municipal/los-plenos/actas-municipales.

  40. 40.

    https://spacy.io/.

  41. 41.

    http://textserver.cs.upc.edu/textserver/login?hl=es.

  42. 42.

    https://www.cs.upc.edu/~nlp/tools/parole-sp.html.

  43. 43.

    https://www.rae.es/banco-de-datos/crea/crea-version-anotada.

  44. 44.

    Questionnaires are written in Spanish, implemented as a Google Form, and available at https://doi.org/10.5281/zenodo.8018593.

  45. 45.

    Data gathered from the questionnaires as well as reports generated by Google Forms are available at https://doi.org/10.5281/zenodo.8018593.

References

  1. AENOR: Lectura Fácil. Pautas y recomendaciones para la elaboración de documentos (UNE 153101:2018 EX). Inclusion Europe (2018)

    Google Scholar 

  2. Alfaro, A.F.: Adverbios en -mente y la estructura del adjetivo en español. Revista de Lengua Española y Lingüística en General 21 (2007)

    Google Scholar 

  3. Badenes-Olmedo, C., García, J.L.R., Corcho, Ó.: Distributing text mining tasks with librAIry. In: Camilleri, K.P., Bonnici, A. (eds.) Proceedings of the 2017 ACM Symposium on Document Engineering, DocEng 2017, Valletta, Malta, 4–7 September 2017, pp. 63–66. ACM (2017). https://doi.org/10.1145/3103010.3121040

  4. Balthazar, C.: The word length effect in children with language impairment. J. Commun. Disord. 36, 487–505 (2003). https://doi.org/10.1016/S0021-9924(03)00033-9

  5. Baptista, J.: Paráfrase de advérbios terminados em -mente em Português. Linguamática 10(2), 21–30 (2018)

    Article  Google Scholar 

  6. Barton, J., Hanif, H., Björnström, L., Hills, C.: The word-length effect in reading: a review. Cogn. Neuropsychol. 31 (2014). https://doi.org/10.1080/02643294.2014.895314

  7. Bos, J., Nissim, M.: An empirical approach to the interpretation of superlatives. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), pp. 9–17. Association for Computational Linguistics, Sydney (2006)

    Google Scholar 

  8. Bott, S., Rello, L., Drndarevic, B., Saggion, H.: Can Spanish be simpler? LexSiS: lexical simplification for Spanish. In: Proceedings of COLING 2012. The COLING 2012 Organizing Committee (2012)

    Google Scholar 

  9. Calvo, J.M.G.: Sobre la expresión de lo “superlativo” en español (I). Anuario de estudios filológicos 7, 173–205 (1984)

    Google Scholar 

  10. Carlisle, J.F.: Morphological awareness and early reading achievement. In: Morphological Aspects of Language Processing, pp. 189–209 (1995)

    Google Scholar 

  11. Demonte, V.: El adjetivo: clases y usos. La posición del adjetivo en el sintagma nominal. In: Ignacio Bosque and Violeta Demonte (ed.) Gramática descriptiva de la lengua española, vol. 1, pp. 129–216 (1999)

    Google Scholar 

  12. Difalcis, M., Ferreres, A., Abusamra, V.: Syllabic length effect in Spanish - evidence from adult readers. Ocnos Revista de Estudios sobre Lectura 19, 19–28 (2020). https://doi.org/10.18239/ocnos_2020.19.3.2295

  13. Inclusion Europe: Information for All. European standards for making information easy to read and understand. Inclusion Europe (2009)

    Google Scholar 

  14. Jenge, C., Hartrumpf, S., Helbig, H., Osswald, R.: Automatic control of simple language in web pages. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2006. LNCS, vol. 4061, pp. 207–214. Springer, Heidelberg (2006). https://doi.org/10.1007/11788713_31

    Chapter  Google Scholar 

  15. Jindal, N., Liu, B.: Mining comparative sentences and relations. In: Proceedings of the 21st National Conference on Artificial Intelligence, AAAI 2006, vol. 2, pp. 1331–1336. AAAI Press, Boston (2006)

    Google Scholar 

  16. Moreno, L., Alarcon, R., Martínez, R.: EASIER system. Language resources for cognitive accessibility. In: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2020. Association for Computing Machinery (2020). https://doi.org/10.1145/3373625.3418006

  17. Nomura, M., Nielsen, G.S.: International Federation of Library Associations and Institutions, Library Services to People with Special Needs Section: Guidelines for easy-to-read materials. IFLA Headquarters, The Hague (2010)

    Google Scholar 

  18. Olmos, B.P.: El afijo -ísimo en el español actual. Verba: Anuario galego de filoloxia 28, 159–185 (2001)

    Google Scholar 

  19. Real Academia Española and Asociación de Academias de la Lengua Española: Nueva gramática de la lengua española. Espasa Calpe (2009)

    Google Scholar 

  20. Rello, L., Baeza-Yates, R., Saggion, H.: DysWebxia: Textos más Accesibles para Personas con Dislexia. Procesamiento del Lenguaje Natural 51, 205–208 (2013)

    Google Scholar 

  21. Rodrigo, A.: Tratamiento automático de textos: el sintagma adverbial núcleo. Ph.D. thesis, Universidad Nacional de Rosario (2011)

    Google Scholar 

  22. Saggion, H., Stajner, S., Bott, S., Mille, S., Rello, L., Drndarevic, B.: Making it simplext: implementation and evaluation of a text simplification system for Spanish. ACM Trans. Access. Comput. 6(4) (2015). https://doi.org/10.1145/2738046

  23. Scheible, S.: Towards a computational treatment of superlatives. In: Proceedings of the ACL 2007 Student Research Workshop, pp. 67–72. Association for Computational Linguistics, Prague (2007)

    Google Scholar 

  24. Scheible, S.: A computational treatment of superlatives. Ph.D. thesis, University of Edinburgh, Edinburgh, UK (2009)

    Google Scholar 

  25. Siegel, L.: Morphological awareness skills of English language learners and children with dyslexia. Top. Lang. Disord. 28, 15–27 (2008). https://doi.org/10.1097/01.adt.0000311413.75804.60

    Article  Google Scholar 

  26. Spencer, M., et al.: Examining the underlying dimensions of morphological awareness and vocabulary knowledge. Read. Writ. 28 (2015). https://doi.org/10.1007/s11145-015-9557-0

  27. Suárez-Figueroa, M.C., Diab, I., Ruckhaus, E., Cano, I.: First steps in the development of a support application for easy-to-read adaptation. Univ. Access Inf. Soc. (2022). https://doi.org/10.1007/s10209-022-00946-z

    Article  Google Scholar 

  28. Suárez-Figueroa, M.C., Ruckhaus, E., López-Guerrero, J., Cano, I., Cervera, Á.: Towards the assessment of easy-to-read guidelines using artificial intelligence techniques. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds.) ICCHP 2020. LNCS, vol. 12376, pp. 74–82. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58796-3_10

    Chapter  Google Scholar 

  29. Tolone, E., Voyatzi, S.: Extending the adverbial coverage of a NLP oriented resource for French. In: Proceedings of 5th International Joint Conference on Natural Language Processing, pp. 1225–1233. Asian Federation of Natural Language Processing (2011)

    Google Scholar 

  30. Trewin, S., et al.: Considerations for AI fairness for people with disabilities. AI Matters 5(3), 40–63 (2019). https://doi.org/10.1145/3362077.3362086

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Acknowledgments

This research has been financed by Asociación Inserta Innovación (part of Grupo Social Once) through Prosvasi Ciencia y Tecnología Para La Inclusión, A.I.E., within the project ACCESSJOBS. We would like to thank Plena Inclusión España for its help in organising the study with users, as well as the Federations of Organisations of People with Intellectual or Developmental Disabilities in Madrid, Comunidad Valenciana, and Andalucía for their participation in the study. We would like to thank Isa Cano and María José Sánchez for their help in organising the user-based validation of our services. In addition, we really appreciate the collaboration provided by (a) ACCEDES (Entornos y Servicios Accesibles SL.) and its cognitive accessibility validation team, made up of people with intellectual disabilities, from the “Así Mejor” Program of workshops and activities of the Tres Cantos City Council (Madrid) and (b) the users of the COFOIL “cuarentainueve” of the Association Somos Diferencia (AMP) for their participation in the initial service validation. Finally, we would like to express thanks to Arminda Moreno for her help in the analysis of the data gathered in the user-based evaluation of our services.

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Correspondence to Mari Carmen Suárez-Figueroa .

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Suárez-Figueroa, M.C., Diab, I., González, Á., Rivero-Espinosa, J. (2023). Towards an Automatic Easy-to-Read Adaptation of Morphological Features in Spanish Texts. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14142. Springer, Cham. https://doi.org/10.1007/978-3-031-42280-5_12

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