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Jionlp

JioNLP is an Apache-2.0-licensed Python library that provides preprocessing and parsing functions for Chinese NLP workflows.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Jionlp — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use JioNLP when a Python NLP workflow needs reusable Chinese-language preprocessing or parsing functions, especially for time expressions and structured text.

Who it is for

NLP developers building Python applications that process Chinese text.

Documented uses

  • Clean text and split it into sentences before downstream NLP tasks.
  • Parse Chinese time expressions, addresses, phone numbers and other structured text.
  • Extract key phrases or summaries and prepare text with stopword filtering or script conversion.
  • Create augmented text using documented character, homophone, entity-replacement or back-translation methods.
Before you choose

Requirements & limits

The repository is public and identifies its license as Apache-2.0. Installation is documented with pip.

  • The package is developer-facing Python software, not a hosted NLP service.
  • The README documents a broad set of Chinese text utilities, so developers can select functions for particular workflow stages.
  • The back-translation augmentation option relies on machine-translation interfaces from cloud platforms.
  • Repository metadata lists Linux, Windows, macOS and server platforms; this does not guarantee compatibility in a specific environment.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install JioNLP and inspect its available functions

Install the Python package and use its documented introspection examples to explore available functions.

Before you start

  • Python environment with pip.

Steps

  1. Install the package with the command below.

    Documented command
    pip install jionlp

  2. In a Python session, import it as import jionlp as jio.

  3. Inspect the version and exported names with print(jio.__version__) and dir(jio).

  4. View a function’s documentation with print(jio.extract_parentheses.__doc__).

Expected outcome

JioNLP is installed, and the documented examples show how to inspect its version, available names, and a function’s documentation.

Guide limitations

  • These steps document installation and API discovery, not execution of a particular NLP task.
  • The README lists functions such as parse_time but does not provide a task-specific invocation example here.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
7 October 2026
Original website title
dongrixinyu/JioNLP · Official homepage title · retained in its source language
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