Кривые обучения

In this paper, we discuss experiments applying machine learning techniques to the task of confusion set disambiguation, using three orders of magnitude more training data than has previously been used …...

We describe a case study in which a memory-based learning algorithm is trained to simultaneously chunk sentences and assign grammatical function tags to these chunks. We compare the algo- rithm’s …...

The performance of Phrase-Based Statis- tical Machine Translation (PBSMT) sys- tems mostly depends on training data. Many papers have investigated how to cre- ate new resources in order to increase …...