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A nondecreasing word R ∈ X ∗ is called a row and a strictly decreasing word C ∈ X ∗ is called a column; for example, x 1 x 1 x 3 x 5 x 5 x 5 x 6 is a row and x 6 x 4 x 2 x 1 is a column.
Effects of decreasing word frequency, consistency (to a small extent), and increasing RT, but not imageability, also overlap in the left mid-fusiform gyrus (ventral surface in the upper part of Fig. 3).
Hence, neural effects of, for example, decreasing word frequency may be indistinguishable from attention or working-memory processes to the extent that they spatially overlap with effects of RT.
Although the focus in neuroimaging studies has been on the greater activation associated with decreasing word frequency, increasing word frequency may also be expected to have positive effects on activation, particularly in lexical semantic systems.
With respect to the P1 component, several studies have reported increased amplitudes with increasing orthographic neighborhood size (N), increasing word length, but decreasing word frequency, and decreasing orthographic typicality (e.g., Hauk and Pulvermüller, 2004; Hauk et al. 2006a,b; Segalowitz and Zheng, 2009; for a review, cf. Dien, 2009).
For decreasing word length, however, we found an increasing amount of unintended skippings.
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Language problems are mainly characterised by a shrinking vocabulary and decreased word fluency, leading to a general impoverishment of oral and written language.
The resulting Abyss assemblies were further assembled by a pipeline consisting of blastn and CAP3 [ 37] iterations as described in [ 38], consisting of iterations with a decreasing blastn word size inclusion strategy.
In addition, it may have advantages and encourage the use of guidelines more rigorously including: providing a better description of the interventions, decreasing manuscript word count, promoting an easier understanding of the trial structures, and helping with the design and conduct of acupuncture research at the early stage [ 36].
In reading, such analysis techniques revealed, for example, that the probability of fixating (i.e., not skipping) a word decreases linearly with word frequency.
Experimental results show that our proposed RNNLM-Brown improves the perplexity and decreases the word error rate obviously.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com