code: def build_tagging_graph(words, tags, builders):
      dy.renew_cg()
      f_init, b_init = [b.initial_state() for b in builders]
  
      wembs = [E[w] for w in words]
      wembs = [dy.noise(we, 0.1) for we in wembs]
  
      fw = [x.output() for x in f_init.add_inputs(wembs)]
      bw = [x.output() for x in b_init.add_inputs(reversed(wembs))]
  
      if MLP:
          H = dy.parameter(pH)
          O = dy.parameter(pO)
      else:
          O = dy.parameter(pO)
      errs = []
      for f, b, t in zip(fw, reversed(bw), tags):
          f_b = dy.concatenate([f, b])
          if MLP:
              r_t = O * (dy.tanh(H * f_b))
          else:
              r_t = O * f_b
          err = dy.pickneglogsoftmax(r_t, t)
          errs.append(err)
      return dy.esum(errs)
  
imports: import dynet
  from collections import Counter
  import random
  import util
label_desc: Use image node_id 2 for calling a global function with example usage: build_tagging_graph(words, tags, builders) and returns: dy