Ekaterina Lapshinova-Koltunski

44 papers B 11C 2Misc 2Journal 8Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Intralingual Machine Translation Quality: Application of an Adapted MQM Scheme to German Plain Language. Inf. Silvana Deilen, Sergio Hernández Garrido, Ekaterina Lapshinova-Koltunski, Christiane Maaß, Annie Werner
2024	—	`conf`	Evaluation of intralingual machine translation for health communication. EAMT (1) Silvana Deilen, Ekaterina Lapshinova-Koltunski, Sergio Hernández Garrido, Julian Hörner, Christiane Maaß, Vanessa Theel, Sophie Ziemer
2024	—	`conf`	Investigating the Linguistic Performance of Large Language Models in Machine Translation. WMT Shushen Manakhimova, Vivien Macketanz, Eleftherios Avramidis, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller
2024	—	`ed.`	Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024 EAMT (1) Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Rachel Bawden, Víctor M. Sánchez-Cartagena, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Vera Cabarrão, Konstantinos Chatzitheodorou, Mary Nurminen, Diptesh Kanojia, Helena Moniz
2023	C	`conf`	Computational analysis of different translations: by professionals, students and machines. EAMT Maja Popovic, Ekaterina Lapshinova-Koltunski, Maarit Koponen
2023	B	`conf`	Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations. SIGDIAL Frances Yung, Merel C. J. Scholman, Ekaterina Lapshinova-Koltunski, Christina Pollkläsener, Vera Demberg
2023	—	`conf`	Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? WMT Shushen Manakhimova, Eleftherios Avramidis, Vivien Macketanz, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller
2023	Misc	`conf`	Simultaneous Interpreting as a Noisy Channel: How Much Information Gets Through. RANLP Maria Kunilovskaya, Heike Przybyl, Ekaterina Lapshinova-Koltunski, Elke Teich
2023	J	`jnl`	Using ChatGPT as a CAT tool in Easy Language translation. CoRR Silvana Deilen, Sergio Hernández Garrido, Ekaterina Lapshinova-Koltunski, Christiane Maaß
2022	C	`conf`	DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. EAMT Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen
2022	B	`conf`	DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. LREC Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen
2022	B	`conf`	EPIC UdS - Creation and Applications of a Simultaneous Interpreting Corpus. LREC Heike Przybyl, Ekaterina Lapshinova-Koltunski, Katrin Menzel, Stefan Fischer, Elke Teich
2022	J	`jnl`	Exploring Explicitation and Implicitation in Parallel Interpreting and Translation Corpora. Prague Bull. Math. Linguistics Ekaterina Lapshinova-Koltunski, Christina Pollkläsener, Heike Przybyl
2022	—	`conf`	Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions. WMT Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller
2022	B	`conf`	ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference. LREC Ekaterina Lapshinova-Koltunski, Pedro Augusto Ferreira, Elina Lartaud, Christian Hardmeier
2021	Misc	`conf`	Fiction in Russian Translation: A Translationese Study. RANLP Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski, Ruslan Mitkov
2021	—	`conf`	Measuring Translationese across Levels of Expertise: Are Professionals more Surprising than Students? NoDaLiDa Yuri Bizzoni, Ekaterina Lapshinova-Koltunski
2020	B	`conf`	Lexicogrammatic translationese across two targets and competence levels. LREC Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski
2020	J	`jnl`	Pragmatic information in translation: a corpus-based study of tense and mood in English and German. CoRR Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander M. Fraser
2019	—	`conf`	Analysing Coreference in Transformer Outputs. DiscoMT@EMNLP Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith
2019	J	`jnl`	Analysing Coreference in Transformer Outputs. CoRR Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith
2018	—	`conf`	A Pronoun Test Suite Evaluation of the English-German MT Systems at WMT 2018. WMT (shared task) Liane Guillou, Christian Hardmeier, Ekaterina Lapshinova-Koltunski, Sharid Loáiciga
2018	B	`conf`	ParCorFull: a Parallel Corpus Annotated with Full Coreference. LREC Ekaterina Lapshinova-Koltunski, Christian Hardmeier, Pauline Krielke
2017	—	`conf`	Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation. DiscoMT@EMNLP Ekaterina Lapshinova-Koltunski, Christian Hardmeier
2017	J	`jnl`	Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective. CoRR Ekaterina Lapshinova-Koltunski, Marcos Zampieri
2016	—	`conf`	Abstract Coreference in a Multilingual Perspective: a View on Czech and German. CORBON@HLT-NAACL Anna Nedoluzhko, Ekaterina Lapshinova-Koltunski
2016	—	`conf`	Annotation of Lexical Cohesion in English and German: Automatic and Manual Procedures. KONVENS José Manuel Martínez Martínez, Ekaterina Lapshinova-Koltunski, Kerstin Kunz
2016	—	`conf`	Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German. CORBON@HLT-NAACL Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez
2016	B	`conf`	From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse. LREC Ekaterina Lapshinova-Koltunski, Kerstin Anna Kunz, Anna Nedoluzhko
2016	—	`conf`	Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification. HLT-NAACL Raphael Rubino, Ekaterina Lapshinova-Koltunski, Josef van Genabith
2016	J	`jnl`	The linguistic construal of disciplinarity: A data-mining approach using register features. J. Assoc. Inf. Sci. Technol. Elke Teich, Stefania Degaetano-Ortlieb, Peter Fankhauser, Hannah Kermes, Ekaterina Lapshinova-Koltunski
2015	—	`conf`	Across Languages and Genres: Creating a Universal Annotation Scheme for Textual Relations. LAW@NAACL-HLT Ekaterina Lapshinova-Koltunski, Anna Nedoluzhko, Kerstin Anna Kunz
2015	—	`conf`	Exploration of Inter- and Intralingual Variation of Discourse Phenomena. DiscoMT@EMNLP Ekaterina Lapshinova-Koltunski
2015	—	`conf`	Investigating Genre and Method Variation in Translation Using Text Classification. TSD Marcos Zampieri, Ekaterina Lapshinova-Koltunski
2015	—	`conf`	Measuring 'Registerness' in Human and Machine Translation: A Text Classification Approach. DiscoMT@EMNLP Ekaterina Lapshinova-Koltunski, Mihaela Vela
2015	—	`conf`	Register-based machine translation evaluation with text classification techniques. MTSummit Mihaela Vela, Ekaterina Lapshinova-Koltunski
2014	B	`conf`	Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers. LREC Stefania Degaetano-Ortlieb, Peter Fankhauser, Hannah Kermes, Ekaterina Lapshinova-Koltunski, Noam Ordan, Elke Teich
2013	—	`conf`	Scientific registers and disciplinary diversification: a comparable corpus approach. BUCC@ACL Elke Teich, Stefania Degaetano-Ortlieb, Hannah Kermes, Ekaterina Lapshinova-Koltunski
2013	—	`conf`	VARTRA: A Comparable Corpus for Analysis of Translation Variation. BUCC@ACL Ekaterina Lapshinova-Koltunski
2012	B	`conf`	Coreference in Spoken vs. Written Texts: a Corpus-based Analysis. LREC Marilisa Amoia, Kerstin Kunz, Ekaterina Lapshinova-Koltunski
2012	—	`conf`	Domain-specific variation of sentiment expressions: A methodology of analysis for academic writing. KONVENS Stefania Degaetano-Ortlieb, Elke Teich, Ekaterina Lapshinova-Koltunski
2012	B	`conf`	Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach. LREC Stefania Degaetano-Ortlieb, Ekaterina Lapshinova-Koltunski, Elke Teich
2009	J	`jnl`	Classification of "Inheritance" Relations: a Semi-automatic Approach. Res. Comput. Sci. Ekaterina Lapshinova-Koltunski
2008	B	`conf`	Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds. LREC Ekaterina Lapshinova-Koltunski, Ulrich Heid

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.