How to parse a String into a Penn Treebank Syntax Tree in Python

Creating a Penn Treebank syntax tree is an important step in many NLP operations. This task is certainly a difficult one without the proper tools. Today I will give you a demonstration of how to use Cloudmersive’s NLP API to get this job done in double quick time.

First step:

pip install git+https://github.com/Cloudmersive/Cloudmersive.APIClient.Python.NLP.git

Second step:

from __future__ import print_function
import time
import cloudmersive_nlp_api_client
from cloudmersive_nlp_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_nlp_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'
# create an instance of the API class
api_instance = cloudmersive_nlp_api_client.ParseStringApi(cloudmersive_nlp_api_client.ApiClient(configuration))
input = 'input_example' # str | Input string
try:
# Parse string to syntax tree
api_response = api_instance.parse_string_post(input)
pprint(api_response)
except ApiException as e:
print("Exception when calling ParseStringApi->parse_string_post: %s\n" % e)

Alright, now you can relax, because you’re done. This simple function call will allow you to parse any string you like into a syntax tree.