Constituency Parsing

Input a piece of text:

In 2021, HanLPv2.1 delivers state-of-the-art multilingual NLP techniques to production environments. 2021年、HanLPv2.1は次世代の最先端多言語NLP技術を本番環境に導入します。 2021年 HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。184/800

Introduction

Constituency parsing aims to extract a constituency-based parse tree from a sentence that represents its syntactic structure according to a phrase structure grammar.

Note

Although UD covers 130 languages, OntoNotes (NER, CON, SRL) covers only English, Chinese and Arabic. So NER/CON/SRL of languages other than the 3 are considered as Zero-Shot and their accuracies can be very low.

How to Use

Apply for Auth

We are hosting a non-commercial API service and you are welcome to apply for an auth key. An auth key is a password which gives you access to our API and protects our server from being abused.

Create RESTful Client

Create a HanLPClient:

      from hanlp_restful import HanLPClient
# Fill in your auth
HanLP = HanLPClient('https://www.hanlp.com/api', auth=None, language='mul')

    

Parse

Set tasks='con' to perform CON：

      
HanLP('''In 2021, HanLPv2.1 delivers state-of-the-art multilingual NLP techniques to production environments.
2021年、HanLPv2.1は次世代の最先端多言語NLP技術を本番環境に導入します。
2021年 HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。''', tasks='con').pretty_print()

    

Native APIs

Please refer to docs.