Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds. - Ekaterina Lapshinova-Koltunski; Ulrich Heid (LREC, 2008)

Domain-specific variation of sentiment expressions: A methodology of analysis for academic writing. - Stefania Degaetano-Ortlieb; Elke Teich; Ekaterina Lapshinova-Koltunski (KONVENS, 2012)

Coreference in Spoken vs. Written Texts: a Corpus-based Analysis. - Marilisa Amoia; Kerstin Kunz; Ekaterina Lapshinova-Koltunski (LREC, 2012)

Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach. - Stefania Degaetano-Ortlieb; Ekaterina Lapshinova-Koltunski; Elke Teich (LREC, 2012)

VARTRA: A Comparable Corpus for Analysis of Translation Variation. - Ekaterina Lapshinova-Koltunski (BUCC@ACL, 2013)

Scientific registers and disciplinary diversification: a comparable corpus approach. - Elke Teich; Stefania Degaetano-Ortlieb; Hannah Kermes; Ekaterina Lapshinova-Koltunski (BUCC@ACL, 2013)

Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers. - Stefania Degaetano-Ortlieb; Peter Fankhauser; Hannah Kermes; Ekaterina Lapshinova-Koltunski; Noam Ordan; Elke Teich (LREC, 2014)

Across Languages and Genres: Creating a Universal Annotation Scheme for Textual Relations. - Ekaterina Lapshinova-Koltunski; Anna Nedoluzhko; Kerstin Anna Kunz (LAW@NAACL-HLT, 2015)

Measuring 'Registerness' in Human and Machine Translation: A Text Classification Approach. - Ekaterina Lapshinova-Koltunski; Mihaela Vela (DiscoMT@EMNLP, 2015)

Exploration of Inter- and Intralingual Variation of Discourse Phenomena. - Ekaterina Lapshinova-Koltunski (DiscoMT@EMNLP, 2015)

Register-based machine translation evaluation with text classification techniques. - Mihaela Vela; Ekaterina Lapshinova-Koltunski (MTSummit, 2015)

Investigating Genre and Method Variation in Translation Using Text Classification. - Marcos Zampieri; Ekaterina Lapshinova-Koltunski (TSD, 2015)

Annotation of Lexical Cohesion in English and German: Automatic and Manual Procedures. - José Manuel Martínez Martínez; Ekaterina Lapshinova-Koltunski; Kerstin Kunz (KONVENS, 2016)

From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse. - Ekaterina Lapshinova-Koltunski; Kerstin Anna Kunz; Anna Nedoluzhko (LREC, 2016)

Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German. - Kerstin Kunz; Ekaterina Lapshinova-Koltunski; José Manuel Martínez (CORBON@HLT-NAACL, 2016)

Abstract Coreference in a Multilingual Perspective: a View on Czech and German. - Anna Nedoluzhko; Ekaterina Lapshinova-Koltunski (CORBON@HLT-NAACL, 2016)

Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification. - Raphael Rubino; Ekaterina Lapshinova-Koltunski; Josef van Genabith (HLT-NAACL, 2016)

The linguistic construal of disciplinarity: A data-mining approach using register features. - Elke Teich; Stefania Degaetano-Ortlieb; Peter Fankhauser; Hannah Kermes; Ekaterina Lapshinova-Koltunski (J. Assoc. Inf. Sci. Technol., 2016)

Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation. - Ekaterina Lapshinova-Koltunski; Christian Hardmeier (DiscoMT@EMNLP, 2017)

Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective. - Ekaterina Lapshinova-Koltunski; Marcos Zampieri (CoRR, 2017)

ParCorFull: a Parallel Corpus Annotated with Full Coreference. - Ekaterina Lapshinova-Koltunski; Christian Hardmeier; Pauline Krielke (LREC, 2018)

A Pronoun Test Suite Evaluation of the English-German MT Systems at WMT 2018. - Liane Guillou; Christian Hardmeier; Ekaterina Lapshinova-Koltunski; Sharid Loáiciga (WMT (shared task), 2018)

Analysing Coreference in Transformer Outputs. - Ekaterina Lapshinova-Koltunski; Cristina España-Bonet; Josef van Genabith (DiscoMT@EMNLP, 2019)

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

Pragmatic information in translation: a corpus-based study of tense and mood in English and German. - Anita Ramm; Ekaterina Lapshinova-Koltunski; Alexander M. Fraser (CoRR, 2020)

Measuring Translationese across Levels of Expertise: Are Professionals more Surprising than Students? - Yuri Bizzoni; Ekaterina Lapshinova-Koltunski (NoDaLiDa, 2021)

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

DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. - Ekaterina Lapshinova-Koltunski; Maja Popovic; Maarit Koponen (EAMT, 2022)

ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference. - Ekaterina Lapshinova-Koltunski; Pedro Augusto Ferreira; Elina Lartaud; Christian Hardmeier (LREC, 2022)

EPIC UdS - Creation and Applications of a Simultaneous Interpreting Corpus. - Heike Przybyl; Ekaterina Lapshinova-Koltunski; Katrin Menzel; Stefan Fischer 008; Elke Teich (LREC, 2022)

Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions. - Vivien Macketanz; Shushen Manakhimova; Eleftherios Avramidis; Ekaterina Lapshinova-Koltunski; Sergei Bagdasarov; Sebastian Möller 001 (WMT, 2022)

Exploring Explicitation and Implicitation in Parallel Interpreting and Translation Corpora. - Ekaterina Lapshinova-Koltunski; Christina Pollkläsener; Heike Przybyl (Prague Bull. Math. Linguistics, 2022)

Computational analysis of different translations: by professionals, students and machines. - Maja Popovic; Ekaterina Lapshinova-Koltunski; Maarit Koponen (EAMT, 2023)

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

Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations. - Frances Yung; Merel C. J. Scholman; Ekaterina Lapshinova-Koltunski; Christina Pollkläsener; Vera Demberg (SIGDIAL, 2023)

Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? - Shushen Manakhimova; Eleftherios Avramidis; Vivien Macketanz; Ekaterina Lapshinova-Koltunski; Sergei Bagdasarov; Sebastian Möller 001 (WMT, 2023)

Using ChatGPT as a CAT tool in Easy Language translation. - Silvana Deilen; Sergio Hernández Garrido; Ekaterina Lapshinova-Koltunski; Christiane Maaß (CoRR, 2023)

Evaluation of intralingual machine translation for health communication. - Silvana Deilen; Ekaterina Lapshinova-Koltunski; Sergio Hernández Garrido; Julian Hörner; Christiane Maaß; Vanessa Theel; Sophie Ziemer (EAMT (1), 2024)

Investigating the Linguistic Performance of Large Language Models in Machine Translation. - Shushen Manakhimova; Vivien Macketanz; Eleftherios Avramidis; Ekaterina Lapshinova-Koltunski; Sergei Bagdasarov; Sebastian Möller 001 (WMT, 2024)