Running the tokeniser on the normalised sentence above produces the following tokens (Figure 1): Figure 1 Tokenisation.
However, the utterances could be roughly separated in two groups: surprise/unexpectedness (70% of the tokens; e.g., Figure 8(d)) and surprise/admiration (30% of the tokens; e.g., Figure 8 e)).
As mentioned before, Table 3 shows all the initial and final markings with the addition and subtraction of tokens for Figure 6.
A Petri net consists of places, transitions, and tokens (see Figure 1).
As for the token "Pippa Middleton figure", alas, neither Ed Miliband's adviser, Polly Billington, nor his campaign organiser Rachel Kinnock, can make the big day.
Especially noteworthy is the debate concerning the relation between the meaning of a sentence type and the speaker's meaning in using a token (a relation that figures prominently in Grice 1969).
By the same token, Republican strategists swiftly figured out that passage of the Clinton plan, however modified, might have devastating electoral consequences: as William Kristol wrote in an influential memo, the plan would "strike a punishing blow against Republican claims to defend the middle class by restraining government".
This rate is then enforced on the net aggregate data traffic allowed through the gateway using the token bucket mechanism shown in Figure 2a. Figure 2 Traffic shaping at gateway router.
Figure 9 Average number of Token Table entries as a function of token lifetime, using 5 minute sampling periods.
