Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches (2020)
- Authors:
- USP affiliated authors: ALUISIO, SANDRA MARIA - ICMC ; LEAL, SIDNEY EVALDO - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International Conference on Computational Linguistics - COLING
-
ABNT
LEAL, Sidney Evaldo et al. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches. 2020, Anais.. Stroudsburg: ACL, 2020. Disponível em: https://www.aclweb.org/anthology/2020.coling-main.512. Acesso em: 06 out. 2024. -
APA
Leal, S. E., Vieira, J. M. M., Rodrigues, E. dos S., Teixeira, E. N., & Aluísio, S. M. (2020). Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches. In Proceedings. Stroudsburg: ACL. Recuperado de https://www.aclweb.org/anthology/2020.coling-main.512 -
NLM
Leal SE, Vieira JMM, Rodrigues E dos S, Teixeira EN, Aluísio SM. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches [Internet]. Proceedings. 2020 ;[citado 2024 out. 06 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512 -
Vancouver
Leal SE, Vieira JMM, Rodrigues E dos S, Teixeira EN, Aluísio SM. Using eye-tracking data to predict the readability of brazilian portuguese sentences in single-task, multi-task and sequential transfer learning approaches [Internet]. Proceedings. 2020 ;[citado 2024 out. 06 ] Available from: https://www.aclweb.org/anthology/2020.coling-main.512 - Complexidade textual e suas tarefas relacionadas
- Métodos de clusterização para a criação de corpus para rastreamento ocular durante a leitura de parágrafos em português
- Avaliação automática da complexidade de sentenças do português brasileiro para o domínio rural
- RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese
- NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese
- Evaluating semantic similarity methods to build semantic predictability norms of reading data
- Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach
- Predição da complexidade textual de recursos educacionais abertos em português
- Predição da complexidade sentencial do português brasileiro escrito, usando métricas linguísticas, psicolinguísticas e de rastreamento ocular
- Brazilian portuguese: spoken, written and diachronic corpora
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