Russian Text Analysis with MyStem: Grammatical Tagging and Lemmatization

Processing Russian text for data science or computational linguistics requires handling complex morphology, case endings, and grammatical variations. This text-based course guides you through the fundamentals of morphological analysis and lemmatization using MyStem. You will transition from manual text parsing to automated grammatical tagging, learning to extract lemmas, identify parts of speech, and decipher complex grammatical tags to prepare Russian text corpora for analysis. What you'll learn: - Understand the core concepts of morphological analysis, lemmatization, and grammatical tagging. - Configure MyStem to parse Russian text and output structured grammatical metadata. - Decode MyStem's grammatical tagset to identify parts of speech, gender, case, and tense. - Integrate MyStem with modern Python workflows using wrappers like pymystem3 and structured formats like JSON. - Clean and filter raw text datasets based on specific grammatical categories. - Practice your skills with written exercises designed to reinforce your understanding of morphological tagging. The course begins with foundational definitions of morphology and text processing before moving into step-by-step written explanations of MyStem syntax, tag deciphering, and data integration. This program is designed for beginners in data analysis, digital humanities, and NLP who want to work with Russian text, with no prior experience in morphological analyzers required. Start mastering morphological analysis and unlock deeper insights from your text data today.