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+

Second step:

from __future__ import print_functionimport timeimport cloudmersive_nlp_api_clientfrom import ApiExceptionfrom pprint import pprint# Configure API key authorization: Apikeyconfiguration = 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 classapi_instance = cloudmersive_nlp_api_client.ParseStringApi(cloudmersive_nlp_api_client.ApiClient(configuration))input = 'input_example' # str | Input stringtry:# Parse string to syntax treeapi_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.

Image for post
Image for post

Written by

There’s an API for that. Cloudmersive is a leader in Highly Scalable Cloud APIs.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store