The proportion of users whose topological community association is correctly predicted by analysing a random sample of words, as a function of the number of words sampled.
To ensure that a SCFG gets consistent, one can for example assign relative frequencies to the productions, which are computed by counting the production rules used in the leftmost derivations of a finite sample of words from the generated language.
If Sibley et al. are right and megastudies are characterized by a larger degree of noise (rather than other strategies used by participants when confronted with a random sample of words than with a sample of target words differing on one or two dimensions), the data of the two megastudies will not agree more with each other than with the findings of small-scale factorial experiments.
For instance, one specific simulation run using MS Word English data started from the following angles for a sample of word pairs: right/wrong, 63°; excited/hectic, 71°; right/excited, 91°.
To illustrate this, we performed a Monte Carlo simulation in which we took two random samples of words from the words occurring in both the BLP and the ELP at various sample sizes (between 10 and 160 words) and added a virtual effect (between 0 and 40 ms) to the RTs of one group of items.
To verify that these observations were not spurious results due to the specific words in this sample of Spanish words or to the source of Spanish words that was used, these analyses were repeated with another Spanish lexicon (a random sample of 19,340 words from the 86,061 Spanish words obtained from ftp.ox.ac.uk\pub\wordlists\), and the results were comparable.
If readers have been considering picking up a little conversational Hindi, they would probably do well not to begin with the sample list of words in the Jan . 7review of "Sacred Games," a novel by Vikram Chandra that sprinkles untranslated Hindi throughout its English text.
Observationally, judgments of conceptual complexity for a sample of real words correlate highly with their length across 80 languages, even controlling for frequency, familiarity, imageability, and concreteness.
Analysing a random sample of 1,000 words of each user, we were able to predict the correct map equation community for approximately 72% of English-speaking users, compared to 48% with the modularity maximisation partition.
And this is only a small sample of the words and syntactic constructions that have been classified as presupposition triggers, so even if in some cases there may be doubts about this diagnosis, it can hardly be doubted that presupposition triggers abound in everyday language.
Therefore, we here used a single sample of 200 words was used in this study.
