Russian Learner Translator Corpus - Design, Research Potential and Applications. - Andrey Kutuzov; Maria Kunilovskaya (TSD, 2014)

Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. - Andrey Kutuzov; Maria Kunilovskaya (AIST, 2017)

Universal Dependencies-based syntactic features in detecting human translation varieties. - Maria Kunilovskaya; Andrey Kutuzov (TLT, 2018)

Towards Functionally Similar Corpus Resources for Translation. - Maria Kunilovskaya; Serge Sharoff (RANLP, 2019)

Lexicogrammatic translationese across two targets and competence levels. - Maria Kunilovskaya; Ekaterina Lapshinova-Koltunski (LREC, 2020)

Multilingual Embeddings for Clustering Cultural Events. - Maria Kunilovskaya; Elizaveta Kuzmenko (AIST, 2021)

Fiction in Russian Translation: A Translationese Study. - Maria Kunilovskaya; Ekaterina Lapshinova-Koltunski; Ruslan Mitkov (RANLP, 2021)

Simultaneous Interpreting as a Noisy Channel: How Much Information Gets Through. - Maria Kunilovskaya; Heike Przybyl; Ekaterina Lapshinova-Koltunski; Elke Teich (RANLP, 2023)

Mitigating Translationese with GPT-4: Strategies and Performance. - Maria Kunilovskaya; Koel Dutta Chowdhury; Heike Przybyl; Cristina España-Bonet; Josef van Genabith (EAMT (1), 2024)