معرفی
Anna Shadrova is a researcher at the Institute for German Language and Linguistics, Humboldt-Universität zu Berlin. Her work focuses on corpus linguistics, multilingualism, and second language acquisition, with an emphasis on graph-based modeling and quantitative methods. She leads projects like RUEG (DFG-funded) examining language contact situations and has contributed to the SFB Register project studying register variation. She has published extensively on lexical dynamics, learner corpora analysis, and computational linguistics applications in legal text analysis.
- Current Projects: RUEG Research Unit (DFG), SFB Register (associated), Leibniz Linguistic Research into Constitutional Law
- Teaching: Supervised master’s theses, taught courses in corpus linguistics, German grammar, and computational linguistics
- Awards: GSCL Doctoral Award (2022) for her work on graph-based analysis in learner corpora
- Labs/Teams: Member of the corpus linguistics group at Humboldt University, involved in developing tools like Annis³ for corpus annotation and analysis
Her research bridges theoretical linguistics with computational methods, emphasizing reproducibility and open science practices. Key themes include lexical path dependence, intra-individual variation in language production, and the intersection of lexicosyntax with multilingual contexts.
