Кросс-тілдік мәтін классификациясы

We present a new approach to cross- language text classification that builds on structural correspondence learning, a re- cently proposed theory for domain adap- tation. The approach uses unlabeled doc- …...

In many languages, sparse availability of re- sources causes numerous challenges for tex- tual analysis tasks. Text classification is one of such standard tasks that is hindered due to lim- …...