Timed written picture naming in 14 European languages

Torrance, Mark; Nottbusch, Guido; Alves, Rui A.; Arfé, Barbara; Chanquoy, Lucile; Chukharev‐Hudilainen, Evgeny; Dimakos, Ioannis; Fidalgo, Raquel; Hyönä, Jukka; Jóhannesson, Ómar I.; Madjarov, George; Pauly, Dennis Nikolas; Uppstad, Per Henning; Waes, Luuk Van; Vernon, Michael L.; Wengelin, Åsa

doi:10.3758/s13428-017-0902-x

Cited by 32 publications

(58 citation statements)

References 63 publications

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“…It is thus difficult to pin down the effect of frequency to a certain part of the system. Given these issues, it is not surprising that different studies have reached different conclusions regarding the effect of frequency on response execution times (Baus, Strijkers, & Costa, 2013;Pinet et al, 2016;Scaltritti, Arfé, Torrance, & Peressotti, 2016;Torrance et al, 2017). A more careful test of the influence of lexical selection on response execution durations was carried out by Damian and Freeman (2008), who used a version of the Stroop task to manipulate the difficulty of lexical selection.…”

Section: Discussionmentioning

confidence: 99%

“Twisting fingers”: The case for interactivity in typed language production

Pinet

Nozari

2018

Psychon Bull Rev

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Despite the obvious linguistic nature of typing, current psychological models of typing are, to a large extent, divorced from models of spoken language production. This gap has left unanswered many questions regarding the cognitive architecture of typing. In this article we advocate the use of a psycholinguistic framework for studying typing, by showing that such a framework could reveal important similarities and differences between spoken and typed production. Specifically, we investigated the interaction between the lexical and postlexical layers by using a phenomenon known in spoken production as the "repeated-phoneme effect." Participants typed four-word sequences of "finger-twisters" (equivalent to tongue-twisters in spoken production), in which the vowel in the last two words was either repeated (e.g., "fog top") or not (e.g., "fog tip"). We found reliably more migration errors between the consonants of the two typed words when the vowel was repeated, even after the effect of phonology was accounted for. This finding is compatible with an interactive typing system in which postlexical representations send feedback to lexical representations and reveals similar dynamics between spoken and typed production. Additional analyses showed further similarities to spoken production, such as distinct lexical and postlexical error categories, but also revealed that typing errors were much more likely than spoken errors to violate phonotactic constraints. These results provide the first demonstration of feedback between the postlexical and lexical layers in typing, and more generally demonstrate the utility of adopting a psycholinguistic framework tailored specifically to the study of typing.

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Section: Discussionmentioning

confidence: 99%

“Twisting fingers”: The case for interactivity in typed language production

Pinet

Nozari

2018

Psychon Bull Rev

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“…The data presented in this study were collected within a larger multilingual normative study: Torrance, M., et al (2016). Timed Written Naming in 14 European Languages.…”

Section: Acknowledgementsmentioning

confidence: 99%

Typing pictures: Linguistic processing cascades into finger movements

et al. 2016

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Highlights1. We investigated response onset and response execution in typing 2. Lexical-semantic variables influenced response onset and interkeystroke intervals 3. Orthographic variables were found to affect only response execution 4. Results seem coherent with cascaded flow of information between linguistic and motor processes Running Head: TYPING PICTURES 3 AbstractThe present study investigated the effect of psycholinguistic variables on measures of response latency and mean interkeystroke interval in a typewritten picture naming task, with the aim to outline the functional organization of the stages of cognitive processing and response execution associated with typewritten word production. Onset latencies were modulated by lexical and semantic variables traditionally linked to lexical retrieval, such as word frequency, age of acquisition, and naming agreement. Orthographic variables, both at the lexical and sublexical level, appear to influence just within-word interkeystroke intervals, suggesting that orthographic information may play a relevant role in controlling actual response execution. Lexical-semantic variables also influenced speed of execution. This points towards cascaded flow of activation between stages of lexical access and response execution.

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“…They found, however, that orthographic neighbourhood -a word-level orthographic effect-did not affect onset latency but did affect production duration. Torrance et al (2017) studied typed picture naming in a number of alphabetic languages. Spelling difficulty, indexed by cross-subject spelling agreement and controlling for name agreement, only affected writing timecourse in some languages, including French but not including Norwegian (the focus of the present study).…”

Section: Introductionmentioning

confidence: 99%

Cognitive predictors of shallow-orthography spelling speed and accuracy in 6th grade children

Rønneberg

Torrance

2017

Read Writ

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Spelling accuracy and time course was investigated in a sample of 100 Norwegian 6th grade students completing a standardized spelling-to-dictation task. Students responded by keyboard with accurate recordings of response-onset latency (RT) and inter-keypress interval (IKI). We determined effects of a number of childlevel cognitive ability factors, and of word-level factors-particularly the location within the word of a spelling challenge (e.g., letter doubling), if present. Spelling accuracy was predicted by word reading (word split) performance, non-word spelling accuracy, keyboard key-finding speed and short-term memory span. Word reading performance predicted accuracy just for words with spelling challenges. For correctly spelled words, RT was predicted by non-word spelling response time and by speed on a key-finding task, and mean IKI by non-verbal cognitive ability, word reading, non-word spelling response time, and key-finding speed. Compared to words with no challenge, mean IKI was shorter for words with an initial challenge and longer for words with a mid-word challenge. These findings suggest that spelling is not fully planned when typing commences, a hypothesis that is confirmed by the fact that IKI immediately before within word challenges were reliably longer than elsewhere within the same word. Taken together our findings imply that routine classroom spelling tests better capture student competence if they focus not only on accuracy but also on production time course.& Vibeke Rønneberg

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Timed written picture naming in 14 European languages

Cited by 32 publications

References 63 publications

“Twisting fingers”: The case for interactivity in typed language production

“Twisting fingers”: The case for interactivity in typed language production

Typing pictures: Linguistic processing cascades into finger movements

Cognitive predictors of shallow-orthography spelling speed and accuracy in 6th grade children

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