PyMorphy

PyMorphy is a library for Russian morphological analysis, developed by JetBrains. It provides a wide range of functionalities for processing and analyzing the morphology of Russian language text. The library supports various tasks, including morphological decomposition, lemmatization, and part-of-speech tagging.

PyMorphy is designed to be efficient, flexible, and easy to use. It offers a simple and intuitive API, allowing developers to incorporate morphological analysis capabilities into their applications with minimal effort. The library is particularly useful for tasks that require a high degree of precision and accuracy, such as text processing, natural language processing, and machine learning.

The library's morphological models are based on the Parsey McParseface project, which was developed in conjunction with Yandex. These models have been trained on extensive datasets and are capable of handling a wide range of linguistic phenomena, including complications and exceptions.

PyMorphy supports various types of output, including traditional morphological attributes, as well as indexes for attributes like number, person, and case. The library also provides features for working with context-dependent morphology, including handling particles and certain types of words that follow them.

Overall, PyMorphy is a robust and versatile library for Russian morphological analysis, useful for a variety of applications, including linguistics research, text analysis, and natural language processing. Its ease of use and high accuracy make it a popular choice among developers who need to work with Russian language text.