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To support intuition‐driven processing of compound collections, wedeveloped MONA, an interactive tool that has been designed to prepare andvisualize large small‐molecule datasets.
The representation and processing of compound words, and morphologically complex words more generally, remains a controversial topic in psycholinguistics.
Thus its presence here might also be an indicator that combinatorial processing of compound words requires more in-depth processing, which recruits stronger attentional resources, than monomorphemic words.
The main questions we asked are whether processing of compound words takes place via a combinatorial or whole-form route and whether processing is influenced by the transparency and lexical frequency of the words.
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MMN response dissociates lexical access and combinatorial processing of compounds.
The current study investigated the neural processing of compounds with systematically varied psycholinguistic features, which were presented auditorily to participants whose brain activity was assessed using EEG.
Based on previous studies of the P3a, we suggest that automatic attentional orientation is greater when processing of compounds relies more on combinatorial processing as in the case of transparent compounds.
We investigated the neuro-cognitive processing of compounds using EEG and a passive-listening oddball design in which lexical access and combinatorial processing elicit dissociating Mismatch Negativity (MMN) brain-response patterns.
The present study investigated the morphological processing of novel compound words in overt speech production.
In order to help facilitate validation and standardization of chemical structure datasets from various sources we have delivered a freely available internet-based platform to the community for the processing of chemical compound datasets.
Thus, short training favoured processing of the compound as the sum of its elements (elemental account) while long training favoured its processing as being different from the sum of its elements (configural account).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com