Sentence examples for constraint ranking from inspiring English sources

Referred to as the Multiple Constraint Ranking (MCR), it extends the rank-based approach from many CHTs, by building multiple separate queues based on the values of the objective function and the violation of each constraint.

Ordering the constraints by the magnitude of their weights may specify a hierarchical constraint ranking (an OT Grammar), which is the essence of the classic Gradual Learning Algorithm (GLA) (Boersma, 1997).

The major challenges identified by doctors in this setting included 'language difficulties', ranked highest by 87.5% of doctors, ' time constraints' ranked second by 86.9% doctors, followed by ' work load' 85%, lack of education 84.5%, and lack of administrative support e.g. interpreters' 82% of doctors.

First, redefine the constraint Rank(X)=1 as Tr(X)−λ max(X)≤0 and add the penalty for this constraint into the objective function.

In the list of 24 business environment factors included in the questionnaire, recruitment of educated and skilled employees as a constraint was ranked quite low, with the mean scored at 2.22 (Fig. 6).

These constraints are ranked as to their strength and they are defeasible, that is, they can be violated (see Zeevat 2000, 2004).

Constraints are ranked, so to speak, post hoc: they explain what actually happened and why, rather than what should happen according to the rules of rational communicative behaviour.

We first relax f 1 by dropping the rank-one constraint that Rank(W =1.

The algorithm for counting resolutions of a constraint tree requires a few changes to count resolutions of a fully ranked constraint tree.

Nevertheless, we would like to extend this to tackle multiple nuisance parameters, i.e., we would like to relax the constraint G=1 N×1 to rank(G =M≥1.

We generalise this algorithm to counting resolutions of a fully ranked constraint tree.