Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese

摘要

Background Part-of-speech tagging is an important preprocessing step in many natural language processing applications. Despite much work already carried out in this field, there is still room for improvement, especially in Portuguese. We experiment here with an architecture based on neural networks and word embeddings, and that has achieved promising results in English.