text: # ******************************************************************************
  # Copyright 2017-2018 Intel Corporation
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ******************************************************************************
  import re
  
  '''
  This file contains adapted open sourced code, publicly available at:
  https://github.com/elikip/bist-parser/blob/master/bmstparser/src/utils.py
  '''
  
  '''
  Things that were changed from the original:
  1) Added input validation
  2) Updated function and object names to dyNet 2.0.2 and Python 3
  3) Removed external embeddings option
  4) Reformatted code and variable names to conform with PEP8
  5) Added dict_to_obj()
  6) Added option for train() to get ConllEntry input
  7) Added legal header
  '''
  
  NUMBER_REGEX = re.compile("[0-9]+|[0-9]+\\.[0-9]+|[0-9]+[0-9,]+")
  
  
  class ConllEntry:
      def __init__(self, eid, form, lemma, pos, cpos, feats=None, parent_id=None, relation=None,
                   deps=None, misc=None):
          self.id = eid
          self.form = form
          self.norm = normalize(form)
          self.cpos = cpos.upper()
          self.pos = pos.upper()
          self.parent_id = parent_id
          self.relation = relation
  
          self.lemma = lemma
          self.feats = feats
          self.deps = deps
          self.misc = misc
  
          self.pred_parent_id = None
          self.pred_relation = None
  
          self.vec = None
          self.lstms = None
  
      def __str__(self):
          values = [str(self.id), self.form, self.lemma, self.cpos, self.pos, self.feats,
                    str(self.pred_parent_id) if self.pred_parent_id is not None else None,
                    self.pred_relation, self.deps, self.misc]
          return '\t'.join(['_' if v is None else v for v in values])
  
  
  def normalize(word):
      return 'NUM' if NUMBER_REGEX.match(word) else word.lower()
  
  
  