Sentence examples for rate of word from inspiring English sources

No matter how they varied parameters such as the rate of word change, the answer came out pretty much the same: Indo-European languages initially diverged between 7800 and 9800 years ago, with the best guess being around 8700 years, they report in the 27 November issue of Nature.

The objective measures used in this study support previous results indicating that even compensated dyslexic university students continue to exhibit a high rate of word reading errors, dysfluent reading, and lower capacity of working memory compared to age-matched controls (see [1] for review).

More importantly, however, the study by Grogan et al. (2009) illustrates how structural imaging can investigate tasks that are difficult to control in functional imaging paradigms: for example, it is very difficult to control the rate of word production during a fluency task.

Pair-wise comparisons indicated that the age-matched group showed a steeper learning rate of word sequences than the SLI and the grammar-matched group (A-Match vs. SLI: mean difference = 5.03, p =  .04; A-Match vs. G-Match: mean difference = 6.45; p =  .01).01

The finding that Chinese dyslexic children are performing like younger typically developing children may suggest a relatively slow rate of word decoding in these children to support their development of higher level and integrative skills required for text comprehension in senior grades.

Although the features in each model were different, the most common features across models are rate of negative emotion, lexical diversity, rate of words over six letters, and word count.

The performance of the G2P conversion system was expressed in two average error rates (over the fivefold): average error rate of phonemes (PER) and average error rate of words (WER).

Another (neutrally categorised) finding is unexpected, as more complex spaces (which can be related to a low isovist-area-to-perimeter ratio) seem to allow a higher recognition rate of words and images that had to be memorised in such complex interiors while the area (large or small) made no difference on such ratings (Dalton et al. 2010).

The rate of words produced can depend greatly on the conceptual level of the system: the TALK system, which allows users to choose between large numbers of sentence-level utterances, demonstrated output rates in excess of 60 wpm.

Linguistic memory tests are based on the recall rates of word lists and narratives, and they are typically more effective than the MMSE.

Our main research question was whether age-related changes in white matter integrity are associated with age-related increases in rates of word retrieval failures.