MiNLP

Visit Tool

MiNLP is an open-source natural language processing toolkit developed by Xiaomi. It offers functionalities including lexical, syntactic, and semantic analysis, with a focus on Chinese text processing.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is MiNLP?

MiNLP is an open-source natural language processing (NLP) toolkit developed by Xiaomi, designed to provide comprehensive linguistic analysis capabilities. It encompasses a wide range of functionalities, including lexical analysis (such as Chinese word segmentation), syntactic analysis, and semantic analysis. The toolkit has been widely applied in Xiaomi's internal business operations and is progressively being open-sourced to the developer community. Key components like MiNLP-Tokenizer for Chinese word segmentation are already available, with plans to release other lexical tools (part-of-speech tagging, named entity recognition) and eventually syntactic and semantic analysis tools. It also includes a JVM fork of Facebook's Duckling for structured parsing of Chinese text, particularly for numbers and time expressions.

Best used for

Ideal for developers and data scientists who need to perform advanced natural language processing on Chinese text, including tasks like tokenization, part-of-speech tagging, and named entity recognition. Especially valuable for integrating robust linguistic analysis into applications and systems.

Common actions

process Chinese text

analyze language

build NLP models

automated workflowcollaborationlow-code/no-codedeepfakeworkflowsface swappingopen-source"AI Agents"github copilot

Capabilities

Key features

Chinese word segmentation
Structured text parsing
Part-of-speech tagging
Named entity recognition
Dependency parsing

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What specific NLP tasks does MiNLP support for Chinese text?

MiNLP supports various NLP tasks for Chinese text, including word segmentation (MiNLP-Tokenizer), part-of-speech tagging, named entity recognition, and dependency parsing. It also offers structured parsing for entities like numbers and time expressions, based on a fork of Facebook's Duckling.

Is MiNLP fully open-source, or are some components still under development?

MiNLP is progressively being open-sourced. The Chinese word segmentation tool (MiNLP-Tokenizer) is already open-source. Xiaomi plans to open-source all lexical tools by Q2 2021, followed by syntactic and some semantic analysis tools from Q3 2021 onwards.

What programming languages are primarily used in MiNLP?

Based on the repository's language distribution, MiNLP is primarily developed using Scala (61.5%), JavaScript (33.4%), Python (2.2%), and Java (1.8%). This indicates a multi-language approach, with Scala being dominant.

Trending

Subcategories trending in Data & Analytics

Business Intelligence Predictive Analytics Data Labeling & Annotation Real-Time Analytics Data Cleaning & Prep Data Pipelines & Integration

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce