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dc.contributor.advisorRodríguez, Néstor J.
dc.contributor.authorDíaz-Figueroa, María I.
dc.description.abstractJThis document presents a research study that identifies spelling errors committed by people writing in Spanish and how the errors are corrected. A usability test was conducted in which 20 people were asked to write a document in Spanish using Microsoft Word. During the writing process, the interaction of the participants with Microsoft Word was recorded. The recordings were then analyzed to identify the errors committed by the users and how these were corrected. Errors were classified in eleven different types. The most important finding was that a large proportion of the errors were related with words that include á, é, í, ó, ú, or ñ characters. The study revealed that three fourth of the errors are corrected using one out of four possible techniques. The large majority of the errors were identified and corrected on the spot using the backspace key. Many of the uncorrected errors were errors that were not detected by the word processor. However, with simple algorithms these errors can be detected and corrected. We developed algorithms to detect four of these types of errors. The algorithms were able to detect and provide correct alternatives for all the errors in words that currently exist on the dictionary used to implement the algorithms.en_US
dc.description.abstractEn este documento se presenta un estudio que identifica errores ortográficos cometidos por personas escribiendo en español y cómo los errores fueron corregidos. Se condujo un estudio de usabilidad en el que se pidió a 20 personas que escribieran un documento en español utilizando Microsoft Word. Durante el proceso de escritura la interacción de los participantes con Microsoft Word fue grabada. Las grabaciones fueron analizadas para determinar los tipos de errores cometidos y cómo fueron corregidos. Once tipos de errores fueron identificados en el estudio. El hallazgo más importante fue que un gran número de errores estaban relacionados con palabras que incluyen las letras á, é, í, ó, ú, o ñ. El estudio reveló que tres cuartas partes de los errores fueron corregidos y que se utilizaron cuatro técnicas para corregirlos. La mayoría de los errores fueron corregidos en el momento en que se cometieron utilizando la tecla "backspace". Muchos de los errores que no fueron corregidos fueron errores que no fueron detectados por el procesador de palabras. Sin embargo, con algoritmos simples estos errores pueden ser detectados y corregidos. Nosotros desarrollamos algoritmos para detectar cuatro tipos de estos errores. Los algoritmos pudieron detectar y proveer alternativas correctas para todos los errores de palabras que existían en el diccionario utilizado para implementar los algoritmos.en_US
dc.description.sponsorshipThe GEM Fellowship sponsored by IBM, NSF Grant, and the PRIDCO Granten_US
dc.titleA study of spelling errors in word processing: detection and correctionen_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2006 María I. Díaz-Figueroaen_US
dc.contributor.committeeBorges, José
dc.contributor.committeeRodríguez, Manuel
dc.contributor.representativeFerrer-Alameda, Mercedes Engineeringen_US
dc.contributor.collegeCollege of Engineeringen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US

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    Items included under this collection are theses, dissertations, and project reports submitted as a requirement for completing a graduate degree at UPR-Mayagüez.

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