6533b7d4fe1ef96bd1261dd4

RESEARCH PRODUCT

Does orthographic processing emerge rapidly after learning a new script?

María Fernández-lópezManuel PereaAna Marcet

subject

media_common.quotation_subject050109 social psychologycomputer.software_genre050105 experimental psychologyTask (project management)orthographic processingHumansLearning0501 psychology and cognitive sciencesFunction (engineering)General Psychologymedia_commontrainingbusiness.industry05 social sciencesOrthographic projectionartificial scriptIdentification (information)Pattern Recognition VisualReadingletter position codingScripting languagefirst-letter advantageArtificial intelligencePsychologybusinesscomputerNatural language processing

description

Epub 2020 Aug 11 Orthographic processing is characterized by location-invariant and location-specific processing (Grainger, 2018): (1) strings of letters are more vulnerable to transposition effects than the strings of symbols in same-different tasks (location-invariant processing); and (2) strings of letters, but not strings of symbols, show an initial position advantage in target-in-string identification tasks (location-specific processing). To examine the emergence of these two markers of orthographic processing, we conducted a same-different task and a target-in-string identification task with two unfamiliar scripts (pre-training experiments). Across six training sessions, participants learned to fluently read and write one of these scripts. The post-training experiments were parallel to the pre-training experiments. Results showed that the magnitude of the transposed-letter effect in the same-different task and the serial function in the target-in-string identification tasks were remarkably similar for the trained and untrained scripts. Thus, location-invariant and location-specific processing does not emerge rapidly after learning a new script; instead, they may require thorough experience with specific orthographic structures. This study was supported by the Spanish Ministry of Science, Innovation, and Universities (PRE2018-083922, PSI2017-86210-P) and by the Department of Innovation, Universities, Science and Digital Society of the Valencian Government (GV/2020/074)

http://hdl.handle.net/10810/51247