Toolkits like Stanford CoreNLP (Manning et al., 2014) and NTLK (Bird and Klein, 2009) provide all-in-one solution for the most common NLP tasks, such as tokenization, lemmatisation, part-of-speech tagging, named entity extraction, chunking, parsing and sentiment analysis.
we have included experimental support for word2vec models (Mikolov et al., 2013), trained on the Estonian Reference Corpus 3 .