Example printing syntactic tree using SpaCy and the benepar self-attentive encoder.

print_syntactic_tree.py

# Imports
import benepar, spacy
# Load Parser
nlp = spacy.load("en_core_web_lg")
nlp.add_pipe('benepar', config={'model': 'benepar_en3'})

# Define Print Syntactic Tree
def print_tree(phrase_list,i=0):
  # Correct Input
  if( isinstance(phrase_list,spacy.tokens.span.Span) ):
    phrase_list = list(phrase_list._.children)
  # Iterate Recursively
  for phrase in phrase_list:
    # If Phrase has Labels (i.e. isn't just a word), print labels
    if(phrase._.labels): print(" "*i+phrase._.labels[0])
    # Get Lower Level of Phrases
    sub_phrase_list = list(phrase._.children)
    if(len(sub_phrase_list)):
      print_tree(sub_phrase_list,i+1)
    # Print Words
    else:
      word = phrase[0]
      print(" "*i+word.pos_ +f" ({word.text})")

# Get Sentence.
doc = nlp("The quick brown fox jumps over the lazy dog.")
sentence = list(doc.sents)[0]
# Print Tree
print_tree(sentence)