Morphological Analyzer and Generator for Russian and Ukrainian Languages
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Abstract (arXiv)
pymorphy2 is a morphological analyzer and generator for Russian and Ukrainian languages. It uses large efficiently encoded lexi- cons 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.
Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2015.
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Citing papers per year: 2021: 5; 2022: 4; 2023: 5; 2024: 5; 2025: 4; 2026: 2.
25 papers.
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- 2024RuBLiMP: Russian Benchmark of Linguistic Minimal Pairscited by 23
- 2021Improving Gender Translation Accuracy with Filtered Self-Trainingcited by 5
- 2021Morph Call: Probing Morphosyntactic Content of Multilingual Transformerscited by 5
- 2024Probing the Category of Verbal Aspect in Transformer Language Modelscited by 5
- 2023Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networkscited by 3
- 2022Distantly supervised end-to-end medical entity extraction from electronic health records with human-level qualitycited by 2
- 2025Building Russian Benchmark for Evaluation of Information Retrieval Modelscited by 2
- 2025Uncertainty Quantification for Evaluating Machine Translation Biascited by 2
- 2021Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Taskscited by 1
- 2021Does BERT look at sentiment lexicon?cited by 1
- 2022Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learningcited by 1
- 2023Automatic Aspect Extraction from Scientific Textscited by 1
13 more
- 2024Multilingual Substitution-based Word Sense Inductioncited by 1
- 2024Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russiancited by 1
- 2021Teaching a Massive Open Online Course on Natural Language Processingcited by 0
- 2022Collocation2Text: Controllable Text Generation from Guide Phrases in Russiancited by 0
- 2022Zero-shot Cross-Linguistic Learning of Event Semanticscited by 0
- 2023OntoMathPRO 2.0 Ontology: Updates of the Formal Modelcited by 0
- 2023Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorporacited by 0
- 2023A big data approach towards sarcasm detection in Russiancited by 0
- 2024Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modelingcited by 0
- 2025Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitationscited by 0
- 2025Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIRcited by 0
- 2026Learning Nested Named Entity Recognition from Flat Annotationscited by 0
- 2026AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Servicescited by 0
- 2026AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services4 Apr 2026
- 2026Learning Nested Named Entity Recognition from Flat Annotations28 Feb 2026
- 2025Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR7 Nov 2025
- 2025Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations24 Sep 2025
- 2025Uncertainty Quantification for Evaluating Machine Translation Bias24 Jul 2025
- 2025Building Russian Benchmark for Evaluation of Information Retrieval Models17 Apr 2025
- 2024Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian16 Sep 2024
- 2024Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling9 Aug 2024
- 2024RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs27 Jun 2024
- 2024Probing the Category of Verbal Aspect in Transformer Language Models4 Jun 2024
- 2024Multilingual Substitution-based Word Sense Induction17 May 2024
- 2023Automatic Aspect Extraction from Scientific Texts6 Oct 2023
13 more
- 2023A big data approach towards sarcasm detection in Russian1 Jun 2023
- 2023Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora18 May 2023
- 2023OntoMathPRO 2.0 Ontology: Updates of the Formal Model17 Mar 2023
- 2023Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks6 Jan 2023
- 2022Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning30 Nov 2022
- 2022Zero-shot Cross-Linguistic Learning of Event Semantics5 Jul 2022
- 2022Collocation2Text: Controllable Text Generation from Guide Phrases in Russian18 Jun 2022
- 2022Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality25 Jan 2022
- 2021Does BERT look at sentiment lexicon?19 Nov 2021
- 2021Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks3 May 2021
- 2021Morph Call: Probing Morphosyntactic Content of Multilingual Transformers26 Apr 2021
- 2021Teaching a Massive Open Online Course on Natural Language Processing26 Apr 2021
- 2021Improving Gender Translation Accuracy with Filtered Self-Training15 Apr 2021
- 2024RuBLiMP: Russian Benchmark of Linguistic Minimal Pairscited by 23
- 2021Improving Gender Translation Accuracy with Filtered Self-Trainingcited by 5
- 2021Morph Call: Probing Morphosyntactic Content of Multilingual Transformerscited by 5
- 2024Probing the Category of Verbal Aspect in Transformer Language Modelscited by 5
- 2023Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networkscited by 3
- 2022Distantly supervised end-to-end medical entity extraction from electronic health records with human-level qualitycited by 2
- 2025Building Russian Benchmark for Evaluation of Information Retrieval Modelscited by 2
- 2025Uncertainty Quantification for Evaluating Machine Translation Biascited by 2
- 2021Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Taskscited by 1
- 2021Does BERT look at sentiment lexicon?cited by 1
- 2022Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learningcited by 1
- 2023Automatic Aspect Extraction from Scientific Textscited by 1
12 most cited of 25 All 25 (JSON)
- 2026AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services4 Apr 2026
- 2026Learning Nested Named Entity Recognition from Flat Annotations28 Feb 2026
- 2025Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR7 Nov 2025
- 2025Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations24 Sep 2025
- 2025Uncertainty Quantification for Evaluating Machine Translation Bias24 Jul 2025
- 2025Building Russian Benchmark for Evaluation of Information Retrieval Models17 Apr 2025
- 2024Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian16 Sep 2024
- 2024Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling9 Aug 2024
- 2024RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs27 Jun 2024
- 2024Probing the Category of Verbal Aspect in Transformer Language Models4 Jun 2024
- 2024Multilingual Substitution-based Word Sense Induction17 May 2024
- 2023Automatic Aspect Extraction from Scientific Texts6 Oct 2023
12 newest of 25 All 25 (JSON)