Here are some of the famous C++ Natural Language Libraries. Some of the use cases of C++ Natural Language Libraries include Text Processing, Speech Recognition, Machine Translation, and Natural Language Understanding.
C++ natural language libraries are software libraries written in the C++ programming language that are used to process natural language, such as English, and extract meaning from text. These libraries are often used for natural language processing (NLP) applications, like text classification, sentiment analysis, and machine translation.
Let us have a look at some of the famous C++ Natural Language Libraries in detail below.
- Designed to be highly scalable, allowing it to process large amounts of text quickly and efficiently.
- Uses a combination of statistical and machine learning techniques to identify relationships between words, phrases, and sentences.
- Written in C++, making it easy to integrate with existing applications and systems.
- Only library of its kind that offers multi-platform support for Windows, Mac, and Linux.
- Allows developers to annotate text with semantic information, enabling more powerful natural language processing applications.
- Only library of its kind that uses Java, making it more easily accessible to developers with existing Java skills.
- One of the fastest C++ natural language libraries, offering up to 30x faster performance than similar libraries.
- Includes features like tokenization, part-of-speech tagging, dependency parsing, and rule-based matching.
- Designed to scale well for large datasets, making it a good choice for enterprise-level applications.
- Offers a wide range of functions for stemming, lemmatization, and other natural language processing tasks.
- Able to handle most Unicode characters and works across different platforms.
- Offers powerful stemmers for multiple languages, including English, Spanish, French, German, Portuguese, and Italian.
C++ 23 Version:Current License: Permissive (MIT)
- Flexible platform that supports a wide range of use cases.
- Designed to represent natural language.
- Powerful library that can be used to create complex conversations and interactions with users.
- Designed for scalability, allowing developers to deploy applications on a distributed computing cluster.
- Offers a range of tools that make it easier to develop and deploy natural language processing applications.
- Designed to be highly portable, allowing developers to write code that can run on any platform and operating system.
- Open-source, so it is available to anyone and can be modified to fit specific needs.
- Written in Python, making it more accessible and easier to use than other C++ natural language libraries.
- Has a graphical user interface, which makes it easy to explore the data and develop models.
- Organized into semantic categories and hierarchical structures, allowing users to quickly find related words and their definitions.
- Provides access to synonyms and antonyms, making it unique from other C++ natural language libraries.
- Provides access to a corpus of example sentences and usage notes.