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Ekaterina Lapshinova-Koltunski
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2020 – today
- 2024
- [c35]Silvana Deilen, Ekaterina Lapshinova-Koltunski, Sergio Hernández Garrido, Julian Hörner, Christiane Maaß, Vanessa Theel, Sophie Ziemer:
Evaluation of intralingual machine translation for health communication. EAMT (1) 2024: 469-479 - [c34]Shushen Manakhimova, Vivien Macketanz, Eleftherios Avramidis, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller:
Investigating the Linguistic Performance of Large Language Models in Machine Translation. WMT 2024: 355-371 - [e1]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:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024. European Association for Machine Translation (EAMT) 2024, ISBN 978-1-0686907-0-9 [contents] - 2023
- [c33]Maja Popovic, Ekaterina Lapshinova-Koltunski, Maarit Koponen:
Computational analysis of different translations: by professionals, students and machines. EAMT 2023: 365-374 - [c32]Maria Kunilovskaya, Heike Przybyl, Ekaterina Lapshinova-Koltunski, Elke Teich:
Simultaneous Interpreting as a Noisy Channel: How Much Information Gets Through. RANLP 2023: 608-618 - [c31]Frances Yung, Merel C. J. Scholman, Ekaterina Lapshinova-Koltunski, Christina Pollkläsener, Vera Demberg:
Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations. SIGDIAL 2023: 21-30 - [c30]Shushen Manakhimova, Eleftherios Avramidis, Vivien Macketanz, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller:
Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? WMT 2023: 224-245 - [i4]Silvana Deilen, Sergio Hernández Garrido, Ekaterina Lapshinova-Koltunski, Christiane Maaß:
Using ChatGPT as a CAT tool in Easy Language translation. CoRR abs/2308.11563 (2023) - 2022
- [j2]Ekaterina Lapshinova-Koltunski, Christina Pollkläsener, Heike Przybyl:
Exploring Explicitation and Implicitation in Parallel Interpreting and Translation Corpora. Prague Bull. Math. Linguistics 119: 5-22 (2022) - [c29]Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. EAMT 2022: 335-336 - [c28]Ekaterina Lapshinova-Koltunski, Pedro Augusto Ferreira, Elina Lartaud, Christian Hardmeier:
ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference. LREC 2022: 805-813 - [c27]Heike Przybyl, Ekaterina Lapshinova-Koltunski, Katrin Menzel, Stefan Fischer, Elke Teich:
EPIC UdS - Creation and Applications of a Simultaneous Interpreting Corpus. LREC 2022: 1193-1200 - [c26]Ekaterina Lapshinova-Koltunski, Maja Popovic, Maarit Koponen:
DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. LREC 2022: 1751-1760 - [c25]Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis
, Ekaterina Lapshinova-Koltunski, Sergei Bagdasarov, Sebastian Möller:
Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions. WMT 2022: 432-449 - 2021
- [c24]Yuri Bizzoni, Ekaterina Lapshinova-Koltunski:
Measuring Translationese across Levels of Expertise: Are Professionals more Surprising than Students? NoDaLiDa 2021: 53-63 - [c23]Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski, Ruslan Mitkov:
Fiction in Russian Translation: A Translationese Study. RANLP 2021: 734-743 - 2020
- [c22]Maria Kunilovskaya, Ekaterina Lapshinova-Koltunski:
Lexicogrammatic translationese across two targets and competence levels. LREC 2020: 4102-4112 - [i3]Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander M. Fraser:
Pragmatic information in translation: a corpus-based study of tense and mood in English and German. CoRR abs/2007.05234 (2020)
2010 – 2019
- 2019
- [c21]Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. DiscoMT@EMNLP 2019: 1-12 - [i2]Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith:
Analysing Coreference in Transformer Outputs. CoRR abs/1911.01188 (2019) - 2018
- [c20]Ekaterina Lapshinova-Koltunski, Christian Hardmeier, Pauline Krielke:
ParCorFull: a Parallel Corpus Annotated with Full Coreference. LREC 2018 - [c19]Liane Guillou
A Pronoun Test Suite Evaluation of the English-German MT Systems at WMT 2018. WMT (shared task) 2018: 570-577 - 2017
- [c18]Ekaterina Lapshinova-Koltunski, Christian Hardmeier
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation. DiscoMT@EMNLP 2017: 73-81 - [i1]Ekaterina Lapshinova-Koltunski, Marcos Zampieri:
Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective. CoRR abs/1709.04359 (2017) - 2016
- [j1]Elke Teich, Stefania Degaetano-Ortlieb, Peter Fankhauser, Hannah Kermes, Ekaterina Lapshinova-Koltunski:
The linguistic construal of disciplinarity: A data-mining approach using register features. J. Assoc. Inf. Sci. Technol. 67(7): 1668-1678 (2016) - [c17]José Manuel Martínez Martínez, Ekaterina Lapshinova-Koltunski, Kerstin Kunz:
Annotation of Lexical Cohesion in English and German: Automatic and Manual Procedures. KONVENS 2016 - [c16]Ekaterina Lapshinova-Koltunski, Kerstin Anna Kunz, Anna Nedoluzhko:
From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse. LREC 2016 - [c15]Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez:
Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German. CORBON@HLT-NAACL 2016: 23-31 - [c14]Anna Nedoluzhko, Ekaterina Lapshinova-Koltunski:
Abstract Coreference in a Multilingual Perspective: a View on Czech and German. CORBON@HLT-NAACL 2016: 47-52 - [c13]Raphael Rubino, Ekaterina Lapshinova-Koltunski, Josef van Genabith:
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification. HLT-NAACL 2016: 960-970 - 2015
- [c12]Ekaterina Lapshinova-Koltunski, Anna Nedoluzhko, Kerstin Anna Kunz:
Across Languages and Genres: Creating a Universal Annotation Scheme for Textual Relations. LAW@NAACL-HLT 2015: 168-177 - [c11]Ekaterina Lapshinova-Koltunski, Mihaela Vela:
Measuring 'Registerness' in Human and Machine Translation: A Text Classification Approach. DiscoMT@EMNLP 2015: 122-131 - [c10]Ekaterina Lapshinova-Koltunski:
Exploration of Inter- and Intralingual Variation of Discourse Phenomena. DiscoMT@EMNLP 2015: 158-167 - [c9]Mihaela Vela, Ekaterina Lapshinova-Koltunski:
Register-based machine translation evaluation with text classification techniques. MTSummit 2015 - [c8]Marcos Zampieri, Ekaterina Lapshinova-Koltunski:
Investigating Genre and Method Variation in Translation Using Text Classification. TSD 2015: 41-50 - 2014
- [c7]Stefania Degaetano-Ortlieb, Peter Fankhauser, Hannah Kermes, Ekaterina Lapshinova-Koltunski, Noam Ordan, Elke Teich:
Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers. LREC 2014: 1327-1334 - 2013
- [c6]Elke Teich, Stefania Degaetano-Ortlieb, Hannah Kermes, Ekaterina Lapshinova-Koltunski:
Scientific registers and disciplinary diversification: a comparable corpus approach. BUCC@ACL 2013: 59-68 - [c5]Ekaterina Lapshinova-Koltunski:
VARTRA: A Comparable Corpus for Analysis of Translation Variation. BUCC@ACL 2013: 77-86 - 2012
- [c4]Stefania Degaetano-Ortlieb, Elke Teich, Ekaterina Lapshinova-Koltunski:
Domain-specific variation of sentiment expressions: A methodology of analysis for academic writing. KONVENS 2012: 291-295 - [c3]Marilisa Amoia, Kerstin Kunz, Ekaterina Lapshinova-Koltunski:
Coreference in Spoken vs. Written Texts: a Corpus-based Analysis. LREC 2012: 158-164 - [c2]Stefania Degaetano-Ortlieb, Ekaterina Lapshinova-Koltunski, Elke Teich:
Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach. LREC 2012: 2786-2790
2000 – 2009
- 2008
- [c1]Ekaterina Lapshinova-Koltunski, Ulrich Heid:
Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds. LREC 2008
Coauthor Index
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