"comparison of words" is an acceptable phrase and can be used in written English.
For example, this sentence could be used: "An interesting comparison of words can be seen when looking at the evolution of language."
The statistical contrasts focused on the direct comparison of words to pictures in each subject.
However, analysis of lexical items also reflects the basic practice of the traditional method for linguistic reconstruction, which starts with the comparison of words and morphemes 35, 45.
However, when the subjects attended to pictures, leaving the letter strings unattended, the comparison of words to consonant strings resulted in thalamic and putamen activation that the authors associated with automatic reading processes.
Second, we demonstrate that, although the effects of pictures relative to words were consistently localised irrespective of scanner, this was not the case for the comparison of words to pictures (Tables V and VI).
Consistent with the importance of task effects in the comparison of words and pictures, a recent study by Starrfeldt and Gerlach [ 2007] observed increased activation for words relative to pictures during a colour decision task (deciding if stimuli were coloured white or yellow) but not during a categorisation task (deciding if stimuli represented natural objects or artefacts).
Nevertheless, the methods of historical linguistics, involving the precise and systematic comparison of word forms and word meanings (see also linguistics: Historical [diachronic] linguistics), have produced remarkable results in establishing language families on the same basis as Indo-European was established, in far less-favourable fields.
Figure 6 Comparison of word accuracies for various w 1 values of different noises.
In this study we conducted a within and between comparison of word reading fluency and accuracy of English- and Hebrew-speaking children in fourth grade.
Fig. 1 Comparison of word counts for the No Template condition and Template condition in Study 1. Box plots showing the range of word counts and the means for both conditions in Study 1.
Word Error Rate (WER) % Adult voices Older voices -value Overall 29.6 38.7.001 Male 29.5 38.1.001 Female 30.0 41.0.001 Table 10 Comparison of Word Error Rate using Vocal Tract Length Normalisation on adult and older voices.
Word Error Rate (WER) % Adult voices Older voices -value Overall 30.4 40.4.001 Male 30.1 38.8.001 Female 32.4 46.1.001 Table 9 Comparison of Word Error Rate using MLLR speaker adaptation on adult and older voices.
