Morphological Analyzer and Generator for Russian and Ukrainian Languages

By Mikhail Korobov. 2015

237 citations recorded by the source corpus.

pymorphy2 is a morphological analyzer and generator for Russian and Ukrainian languages. It uses large efficiently encoded lexicons built from OpenCorpora and LanguageTool data. A set of linguistically motivated rules is developed to enable morphological analysis and generation of out-of-vocabulary words observed in real-world documents. For Russian pymorphy2 provides state-of-the-arts morphological analysis quality. The analyzer is implemented in Python programming language with optional C++ extensions. Emphasis is put on ease of use, documentation and extensibility. The package is distributed under a permissive open-source license, encouraging its use in both academic and commercial setting.

Subfields: Artificial Intelligence, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Natural Language Processing

Citations in the corpus

Evaluating Gender Bias in Machine Translation (2019, methodology): “(2) Slavic languages (Cyrillic alphabet): Russian and Ukrainian , for which we use the morphological analyzer developed by Korobov (2015).”
Human and Machine Judgements for Russian Semantic Relatedness (2016, methodology): “In addition to the raw tokens we provide a lemmatized version based on the PyMorphy2 morphological analyzer [41].”
Improving Gender Translation Accuracy with Filtered Self-Training (2021, unknown): “For target-side ﬁltering, we use the spaCy morphological analyzer 17 for FR and IT, pymor-phy2 (Korobov, 2015) for RU, German-morph-dictionary based on DeMorphy (Altinok, 2018) for DE and character-based rules following Stanovsky et al. (2019) for HE.”