The first study focusing on morphologically rich languages to employ neural networks (Demir andÖzgür, 2014) contains a regularized averaged perceptron (Freund and Schapire, 1999) and relies on handcrafted rules along with pretrained word embeddings.
they refrain from using output from external morphological disambiguators and only rely on the first and last few characters of a word as features.