INVESTIGADORES
FERNANDEZ SLEZAK Diego
congresos y reuniones científicas
Título:
Human and computer estimations of Predictability of words on written language
Autor/es:
BIANCHI, BRUNO; CARRILLO, FACUNDO; FERNÁNDEZ SLEZAK, DIEGO; KAMIENKOWSI, JUAN; SHALOM, DIEGO
Lugar:
CABA
Reunión:
Congreso; JAIIO 2014; 2014
Resumen:
When we read printed text, we continuously predict the follow words in order to integrate
information and direct future eye movements to forthcoming words. Thus the Predictability
has become one the most important variables when explaining human behavior and information
processing during reading. In this study we present results of word predictability in
long Spanish texts, estimated from human responses in a massive web-based task. We used
Latent Semantic Analysis (LSA) as a way to estimate human-based predictability values
computationally. We validated the human estimation of predictability with local and global
properties of the text, and we showed that LSA-distance on adequate timescale captures
some semantic aspects of the prediction.