Confidence-based Active Learning Methods for Machine Translation
Varvara Logacheva, Lucia Specia · 2014
The paper presents experiments with active learning methods for the acquisition of training data in the context of machine translation.We propose a confidencebased method which is superior to the state-of-the-art method both in terms of quality and complexity.Additionally, we discovered that oracle selection techniques that use real quality scores lead to poor results, making the effectiveness of confidence-driven methods of active learning for machine translation questionable.