Skip to main content

Grid-based Parsing Framework

Project description

GPF简介

gpflib库提供了一种基于网格的自然语言结构分析框架(Grid based Parsing Framework,GPF)。该框架中,语言结构分析被泛化为识别语言单元和建立语言单元之间的关系、为语言单元和关系赋予属性的过程。通过gpflib,用户可以实现可控的自然语言结构计算。

GPF具有以下特点:

  1. 利用网格结构分析语言单元和关系,通过键值方式对其属性进行描述和计算;
  2. 采用数据表表示不同类型的知识;
  3. 借助有限状态自动机剖析语言的具体应用场景;
  4. 定义了数据交换标准接口,可以利用深度学习方法的结果,在网格中进行融合计算。

GPF具有良好的包容性,该框架以符号计算为主导,由它接收输入、输出结果,具有更好的可控性、可扩展性和可解释性。

说明文档

GPF说明文档及使用示例: http://gpf.blcu.edu.cn.

参考书目

《自然语言结构计算——GPF结构分析框架》——荀恩东著

引用

如果在工作中使用了 GPF,您可以引用:

荀恩东.自然语言结构计算——GPF结构分析框架[M].北京:人民邮电出版社.2022

Project details


Release history Release notifications | RSS feed

This version

3.1.7

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gpflib-3.1.7.tar.gz (25.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gpflib-3.1.7-py3-none-any.whl (26.1 MB view details)

Uploaded Python 3

File details

Details for the file gpflib-3.1.7.tar.gz.

File metadata

  • Download URL: gpflib-3.1.7.tar.gz
  • Upload date:
  • Size: 25.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for gpflib-3.1.7.tar.gz
Algorithm Hash digest
SHA256 09bff3e4ebfaead6e0ca300155d511b214c91d5d8c295624dc852ae2c3d3ecbc
MD5 26b7eb15a08c85dc621f948482b30b3b
BLAKE2b-256 8bb59339066d7e524ed023f6f2a8fbfc88bdb863fc191802508688400db00af7

See more details on using hashes here.

File details

Details for the file gpflib-3.1.7-py3-none-any.whl.

File metadata

  • Download URL: gpflib-3.1.7-py3-none-any.whl
  • Upload date:
  • Size: 26.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for gpflib-3.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 2bcbace9891cad5c2488b221822626714d2a73b320f414842e04981e7a5e87da
MD5 d8cd1be5873ecdaaa87b623907d8afab
BLAKE2b-256 e74771df488820576c265ae00f413f0a249670e91325f78f973cea8d77eb0ac0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page