The ZPar performs better than MaltParser and MSTParser, partic due to the richest feature representation.
while the standalone ELMo models were trained on the tokenized WikiDump and CommonCrawl for each language respectively, the BERT model was trained only on the former, albeit simultaneously for 104 languages.