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Maria Kunilovskaya
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2020 – today
- 2024
- [c9]Maria Kunilovskaya, Koel Dutta Chowdhury, Heike Przybyl, Cristina España-Bonet, Josef van Genabith:
Mitigating Translationese with GPT-4: Strategies and Performance. EAMT (1) 2024: 411-430 - 2023
- [c8]Maria Kunilovskaya, Heike Przybyl, Ekaterina Lapshinova-Koltunski, Elke Teich:
Simultaneous Interpreting as a Noisy Channel: How Much Information Gets Through. RANLP 2023: 608-618 - 2021
- [c7]Maria Kunilovskaya
, Elizaveta Kuzmenko
:
Multilingual Embeddings for Clustering Cultural Events. AIST 2021: 84-96 - [c6]Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski, Ruslan Mitkov:
Fiction in Russian Translation: A Translationese Study. RANLP 2021: 734-743 - [e1]Galia Angelova, Maria Kunilovskaya, Ruslan Mitkov, Ivelina Nikolova-Koleva:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), Held Online, 1-3 September, 2021. INCOMA Ltd. 2021 [contents] - 2020
- [c5]Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski:
Lexicogrammatic translationese across two targets and competence levels. LREC 2020: 4102-4112
2010 – 2019
- 2019
- [c4]Maria Kunilovskaya, Serge Sharoff:
Towards Functionally Similar Corpus Resources for Translation. RANLP 2019: 583-592 - 2018
- [c3]Maria Kunilovskaya, Andrey Kutuzov:
Universal Dependencies-based syntactic features in detecting human translation varieties. TLT 2018: 27-36 - [i1]Andrey Kutuzov, Maria Kunilovskaya:
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. CoRR abs/1801.06407 (2018) - 2017
- [c2]Andrey Kutuzov
, Maria Kunilovskaya:
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus. AIST 2017: 47-58 - 2014
- [c1]Andrey Kutuzov
, Maria Kunilovskaya
:
Russian Learner Translator Corpus - Design, Research Potential and Applications. TSD 2014: 315-323
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last updated on 2024-10-02 20:37 CEST by the dblp team
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