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Unit selection is done based on acoustic parameters like the fundamental frequency (pitch), duration, position in the syllable, and neighboring phones, with as little as possible processing at the point of concatenation [21].
However, this asymmetry in word recognition was observed only for extrafoveal displays and no indication of a functional division in hemispheric processing at the point of fixation was observed [4], [29], [30].
Consequently, although a functional division in hemispheric processing at the point of fixation is fundamental to the split-foveal processing view, the mounting evidence obtained with appropriate experimental precision from Latinate and now Arabic languages provides no indication that such a division exists.
Consequently, a split in foveal processing at the point of fixation would cause the exterior letters of fixated words to project to different hemispheres and valuable information provided by conjoint exterior letter features may be lost (see Footnote 4 in File S1).
Moreover, since it is well-established that the LH generally has superior perceptual capabilities for words than the RH (see [28] for a review), this putative division in hemispheric processing at the point of fixation is claimed to have important effects on word recognition [18] [27].
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The group discussed several cases as illustrations of their key concerns, from the infection of food animals to cross-contamination during processing and at the point of consumption.
Consequently, if a precise division in hemispheric processing did exist at the point of fixation, this split would cause beginning letter information to project unilaterally to the RH.
Consequently, if hemispheric processing is divided at the point of fixation, these consonants will often project to different hemispheres and recognition of the root may be delayed until the letters are recombined via interhemispheric transfer.
Because we have halted all system movement at the point of this processing, our timing requirements are pretty relaxed.
This can occur due to local background intensity removal at the point of image processing [ 23].
This is because wood is both less efficient at the point of combustion and has larger processing and supply chain emissions than coal.
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