loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: João Marques 1 ; João Lima 1 ; Márcia Keske-Soares 2 ; Cristiano Rocha 3 ; Fabrício Rubin 4 and Raphael Miollo 1

Affiliations: 1 Centro de Tecnologia, Universidade Federal de Santa Maria, Santa Maria, Brazil ; 2 Centro de Ciências da Saúde, Universidade Federal de Santa Maria, Santa Maria, Brazil ; 3 Xebia Data, Eindhoven, Netherlands ; 4 Petroleo Brasileiro S.A., Rio de Janeiro, Brazil

Keyword(s): Speech Therapy, Phonological Processes, Graphs, Phonological Assessments.

Abstract: The phonological assessment is one of the main resources that speech-language therapist has to identify phonological disorders in children. For this, it is necessary to be composed of a words set that have a variety of phonemes in different positions of the syllable and the word, in order to obtain a representative sample of the phonological system. Thus, the present work aimed to analyze a set of 84 words from a phonological assessment instrument, with the objective of identifying and removing words with over-represented phonemes. Aiming to facilitate the phonological evaluation by making it more succinct with the reduction of the number of words, the present work describes a judicious method organized in three steps, which was implemented in Javascript and obtained a subset of 55 words, which have at least two occurrences of the same phonemes in the proper positions in which they appeared in the initial set, representing a 35% reduction in the number of words without losing quality.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.164.238

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Marques, J. ; Lima, J. ; Keske-Soares, M. ; Rocha, C. ; Rubin, F. and Miollo, R. (2023). Algorithm for Selecting Words to Compose Phonological Assessments. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 80-88. DOI: 10.5220/0011990500003467

@conference{iceis23,
author={João Marques and João Lima and Márcia Keske{-}Soares and Cristiano Rocha and Fabrício Rubin and Raphael Miollo},
title={Algorithm for Selecting Words to Compose Phonological Assessments},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={80-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011990500003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Algorithm for Selecting Words to Compose Phonological Assessments
SN - 978-989-758-648-4
IS - 2184-4992
AU - Marques, J.
AU - Lima, J.
AU - Keske-Soares, M.
AU - Rocha, C.
AU - Rubin, F.
AU - Miollo, R.
PY - 2023
SP - 80
EP - 88
DO - 10.5220/0011990500003467
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic