CoreNLP

Visit Tool

CoreNLP is an Open Source & Models tool that provides a Java suite of core NLP tools. It offers functionalities like tokenization, sentiment analysis, and named entity recognition, supporting multiple languages beyond English.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is CoreNLP?

Stanford CoreNLP is a comprehensive Java-based suite of natural language analysis tools designed to process raw human language text. It can identify base forms of words, parts of speech, named entities (companies, people), normalize dates, times, and numeric quantities, and mark sentence structures. Originally developed for English, it now supports Arabic, Chinese, French, German, Hungarian, Italian, and Spanish. CoreNLP is an integrated framework, making it straightforward to apply various language analysis tools with minimal code. Its analyses serve as foundational building blocks for advanced text understanding applications, widely used in academia, industry, and government. The tools utilize rule-based, probabilistic machine learning, and deep learning components.

Best used for

Ideal for developers and data scientists who need to integrate advanced natural language processing capabilities into their projects, analyze text for sentiment, and extract structured information like named entities. Especially valuable for academic research, building custom NLP applications, and processing multilingual data.

Common actions

analyze text

process natural language

extract entities

understand sentiment

build NLP applications

"AI Agents"github copilotdeepfakeface swappingcollaborationautomated workflowlow-code/no-codeopen-sourceworkflows

Capabilities

Key features

Tokenization
Sentence segmentation
Named entity recognition
Syntactic parsing
Coreference resolution
Sentiment analysis
Multilingual support

Target Audience

developerdata scientistprofessorstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming language is Stanford CoreNLP written in?

Stanford CoreNLP is primarily written in Java. It provides a robust Java suite of natural language analysis tools, making it suitable for integration into Java-based applications and projects requiring advanced NLP functionalities.

What kind of natural language processing tasks can CoreNLP perform?

CoreNLP can perform a wide range of NLP tasks, including tokenization, sentence segmentation, named entity recognition (NER), parsing, coreference resolution, and sentiment analysis. It helps in understanding the structure and meaning of human language text.

Does Stanford CoreNLP support languages other than English?

Yes, while originally developed for English, Stanford CoreNLP now offers varying levels of support for several other languages. These include Arabic, Chinese, French, German, Hungarian, Italian, and Spanish, with specific model jars available for download.

How can I get the language models for CoreNLP?

The language models for CoreNLP can be obtained through several methods. You can download them directly from the provided links, or use Git LFS to clone them from the Hugging Face Hub, which hosts models for various languages like French, German, and Spanish.

Trending

Subcategories trending in Coding & Development

Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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