awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 个仓库

Awesome GitHub RepositoriesText Normalization

Processes raw text into a standardized format using tokenization and stemming to simplify linguistic analysis.

Distinct from Text Tokenization: Broadens the scope from simple segmentation (tokenization) to include root-form reduction (stemming) and normalization.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Text Normalization. Refine with filters or upvote what's useful.

Awesome Text Normalization GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • axa-group/nlp.jsaxa-group 的头像

    axa-group/nlp.js

    6,574在 GitHub 上查看↗

    nlp.js is a JavaScript natural language processing library and development framework used to build natural language understanding engines. It provides a toolkit for creating local machine learning models for intent classification and acts as a multilingual text processor that detects languages and normalizes text across various dialects. The framework distinguishes itself by supporting local execution on both servers and mobile devices, enabling chatbot functionality without an internet connection. It features a specialized system for conversational slot filling to collect mandatory informati

    Provides comprehensive text normalization utilities including tokenizers and stemmers to prepare text for natural language understanding.

    JavaScriptbotbotschatbot
    在 GitHub 上查看↗6,574
  • brightmart/albert_zhbrightmart 的头像

    brightmart/albert_zh

    3,982在 GitHub 上查看↗

    本项目是 ALBERT 语言模型架构的实现,提供了一个用于训练和评估基于 Transformer 的文本分类器和相似度模型的框架。它特别包括针对生成中文文本的语义嵌入和表示而优化的预训练资产和工具。 该框架通过将重型语言模型检查点转换为轻量级格式以在移动设备上实现低延迟推理的工具脱颖而出。它利用特定的权重缩减技术,包括跨参数共享和因子分解嵌入参数化,以在较小的内存占用下保持性能。 该系统涵盖了自然语言处理的完整流水线,从原始文本归一化和子词分词,到使用掩码语言建模的自监督预训练。它提供下游任务适配功能,允许对预训练模型进行微调以进行文本相似度分析和监督分类。 该项目包括用于二进制记录数据转换和模型格式转换的实用程序,以确保跨不同机器学习平台的兼容性。

    Provides text normalization to clean raw input data via whitespace removal and Unicode standardization.

    Pythonalbertbertchinese-corpus
    在 GitHub 上查看↗3,982
  1. Home
  2. Artificial Intelligence & ML
  3. Natural Language Processing
  4. Text Tokenization
  5. Text Normalization