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WORD AVANZADO
(2015-03-26)
Elaboração de lista de palavras de acordo com regras de codificação e frequência do português brasileiro
(Universidade Estadual Paulista (Unesp), 2021-05-24)
A produção da escrita ocorre a partir da interação entre os processos centrais (processos cognitivo-linguísticos) e os processos periféricos (ato motor da escrita), os quais podem ser afetados pelas regras de codificação ...
Words database for reading by students from Basic Education I, E-READING I
(2021-01-01)
Purpose: To present the process of elaborating a words database appropriate for the reading proficiency level of elementary school students. Methods: Words from Portuguese language textbooks used in the public school system ...
Cross-situational learning of object-word mapping using Neural Modeling Fields
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
The issue of how children learn the meaning of words is fundamental to developmental psychology. The recent attempts to develop or evolve efficient communication protocols among interacting robots or Virtual agents have ...
Characterization and comparison of performance of students with learning difficulties and good readers from public and private school in tests of reading and writing of words and pseudowords
(2015-04-01)
Reading and writing are complex activities composed of multiple interdependent processes. The recognition and the production of written words in an alphabetic writing system, can occur through a direct visual process ...
Performance profile of reading and metalinguistic skills in students with dyslexia, learning difficulties and learning disorders
(2020-01-01)
Introduction: The reading process involves several cognitive skills, such as metalinguistic skills and memory. These processes lead the student to understand the ideas of a text for the creation of mental models, based on ...
How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization?
(Springer, 2019-12-01)
Traditional word embeddings approaches, such as bag-of-words models, tackles the problem of text data representation by linking words in a document to a binary vector, marking their occurrence or not. Additionally, a term ...
Words, Tweets, and Reviews: Leveraging Affective Knowledge Between Multiple Domains
(2021)
Three popular application domains of sentiment and emotion analysis are: 1) the automatic rating of movie reviews, 2) extracting opinions and
emotions on Twitter, and 3) inferring sentiment and emotion associations of ...