This tutorial discusses a framework of online global discriminative learning and beam-search decoding for syntactic processing (Zhang and Clark, 2011b) , which has recently been applied to a wide variety of natural language processing (NLP) tasks, including word segmentation (Zhang and Clark, 2007) , dependency parsing (Zhang and Clark, 2008b; Huang and Sagae, 2010; Zhang and Nivre, 2011; Bohnet and Kuhn, 2012) , context free grammar (CFG) parsing <cite>(Collins and Roark</cite>, 2004; Zhang and Clark, 2009; Zhu et al., 2013) , combinational categorial grammar (CCG) parsing (Zhang and Clark, 2011a; Xu et al., 2014) and machine translation (Liu, 2013) , achieving stateof-the-art accuracies and efficiencies.