In order to speed up the experiments, a random sample of 2000 words was drawn from the pool and presented to the active learner each time.

The dashed curves in Figure 1 represent the baseline performance with no clustering, no context ordering, random sampling , and ALINE, unless otherwise noted.

For instance, on the Spanish dataset, random sampling reached 97% word accuracy after 1420 words had been annotated, whereas QBB did so with only 510 words — a 64% reduction in labelling effort.

It is important to note that empirical comparisons of different active learning techniques have shown that random sampling establishes a very

Ideally, we would like to evaluate a random sample of the more than 1,000 languages represented in PANDICTIONARY.5 However, a high-quality evaluation of translation between two languages requires a person who is fluent in both languages.

We provided our evaluators with a random sample of translations into their native language.

To carry out this comparison, we randomly sampled 1,000 senses from English Wiktionary and ran the three algorithms over them.

We randomly sample Sgold from two sets of correct terms extracted from the evaluation cache.

One approach is to use uniform random sampling from restricted sections of Lhand.

We performed random sampling from the top 100, 200 and 500 terms of Lhand.