Intonation modelling for the synthesis of structured documents. - Jeska Buhmann; Jean-Pierre Martens; Lieve Macken; Bert Van Coile (INTERSPEECH, 2002)

Dutch parallel corpus: MT corpus and translator's aid. - Lieve Macken; Julia S. Trushkina; Lidia Rura (MTSummit, 2007)

Linguistically-Based Sub-Sentential Alignment for Terminology Extraction from a Bilingual Automotive Corpus. - Lieve Macken; Els Lefever; Véronique Hoste (COLING, 2008)

Sentence Alignment in DPC: Maximizing Precision, Minimizing Human Effort. - Julia S. Trushkina; Lieve Macken; Hans Paulussen (LREC, 2008)

Language-Independent Bilingual Terminology Extraction from a Multilingual Parallel Corpus. - Els Lefever; Lieve Macken; Véronique Hoste (EACL, 2009)

A Chunk-Driven Bootstrapping Approach to Extracting Translation Patterns. - Lieve Macken; Walter Daelemans (CICLing, 2010)

An Annotation Scheme and Gold Standard for Dutch-English Word Alignment. - Lieve Macken (LREC, 2010)

A resource-light approach to morpho-syntactic tagging.Anna Feldman and Jirka Hana. - Lieve Macken (Lit. Linguistic Comput., 2010)

From keystrokes to annotated process data: Enriching the output of Inputlog with linguistic information. - Lieve Macken; Véronique Hoste; Mariëlle Leijten; Luuk van Waes (LREC, 2012)

Quality as the sum of its parts: a two-step approach for the identification of translation problems and translation quality assessment for HT and MT+PE. - Joke Daems; Lieve Macken; Sonia Vandepitte (WPTP@MTSummit, 2013)

Dutch Parallel Corpus: A Balanced Parallel Corpus for Dutch-English and Dutch-French. - Hans Paulussen; Lieve Macken; Willy Vandeweghe; Piet Desmet (Essential Speech and Language Technology for Dutch, 2013)

On the origin of errors: A fine-grained analysis of MT and PE errors and their relationship. - Joke Daems; Lieve Macken; Sonia Vandepitte (LREC, 2014)

From input to output: the potential of parallel corpora for CALL. - Maribel Montero Perez; Hans Paulussen; Lieve Macken; Piet Desmet (Lang. Resour. Evaluation, 2014)

Using the crowd for readability prediction. - Orphée De Clercq; Véronique Hoste; Bart Desmet; Philip van Oosten; Martine De Cock; Lieve Macken (Nat. Lang. Eng., 2014)

Smart Computer Aided Translation Environment - SCATE. - Vincent Vandeghinste; Tom Vanallemeersch; Frank Van Eynde; Geert Heyman; Sien Moens; Joris Pelemans; Patrick Wambacq; Iulianna Van der Lek-Ciudin; Arda Tezcan; Lieve Macken; Véronique Hoste; Eva Geurts; et al. (EAMT, 2015)

UGENT-LT3 SCATE System for Machine Translation Quality Estimation. - Arda Tezcan; Véronique Hoste; Bart Desmet; Lieve Macken (WMT@EMNLP, 2015)

Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying. - Arda Tezcan; Véronique Hoste; Lieve Macken (EAMT, 2016)

SCATE - smart computer aided translation environment. - Vincent Vandeghinste; Tom Vanallemeersch; Liesbeth Augustinus; Joris Pelemans; G. Heymans; Iulianna Van der Lek-Ciudin; Arda Tezcan; Donald Degraen; Jan Van den Bergh 001; Lieve Macken; Els Lefever; Marie-Francine Moens; et al. (EAMT (Projects/Products), 2016)

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation. - Arda Tezcan; Véronique Hoste; Lieve Macken (WMT, 2016)

Multimodular Text Normalization of Dutch User-Generated Content. - Sarah Schulz; Guy De Pauw; Orphée De Clercq; Bart Desmet; Véronique Hoste; Walter Daelemans; Lieve Macken (ACM Trans. Intell. Syst. Technol., 2016)

A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation. - Arda Tezcan; Véronique Hoste; Lieve Macken (Prague Bull. Math. Linguistics, 2017)

Smart Computer-Aided Translation Environment (SCATE): Highlights. - Vincent Vandeghinste; Tom Vanallemeersch; Bram Bulté; Liesbeth Augustinus; Frank Van Eynde; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Geert Heyman; Marie-Francine Moens; Iulianna Van der Lek-Ciudin; Frieda Steurs; et al. (EAMT, 2018)

A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch. - Laura Van Brussel; Arda Tezcan; Lieve Macken (LREC, 2018)

Estimating post-editing time using a gold-standard set of machine translation errors. - Arda Tezcan; Véronique Hoste; Lieve Macken (Comput. Speech Lang., 2019)

Improving the Translation Environment for Professional Translators. - Vincent Vandeghinste; Tom Vanallemeersch; Liesbeth Augustinus; Bram Bulté; Frank Van Eynde; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Geert Heyman; Marie-Francine Moens; Iulianna Van der Lek-Ciudin; Frieda Steurs; et al. (Informatics, 2019)

Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation. - Joke Daems; Lieve Macken (Mach. Transl., 2019)

Assessing the Comprehensibility of Automatic Translations (ArisToCAT). - Lieve Macken; Margot Fonteyne; Arda Tezcan; Joke Daems (EAMT, 2020)

Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level. - Margot Fonteyne; Arda Tezcan; Lieve Macken (LREC, 2020)

Quantifying the Effect of Machine Translation in a High-Quality Human Translation Production Process. - Lieve Macken; Daniel Prou; Arda Tezcan (Informatics, 2020)

Gutenberg Goes Neural: Comparing Features of Dutch Human Translations with Raw Neural Machine Translation Outputs in a Corpus of English Literary Classics. - Rebecca Webster; Margot Fonteyne; Arda Tezcan; Lieve Macken; Joke Daems (Informatics, 2020)

Estimating word-level quality of statistical machine translation output using monolingual information alone. - Arda Tezcan; Véronique Hoste; Lieve Macken (Nat. Lang. Eng., 2020)

Writing in a second Language with Machine translation (WiLMa). - Margot Fonteyne; Maribel Montero Perez; Joke Daems; Lieve Macken (EAMT, 2022)

Literary translation as a three-stage process: machine translation, post-editing and revision. - Lieve Macken; Bram Vanroy; Luca Desmet; Arda Tezcan (EAMT, 2022)

GECO-MT: The Ghent Eye-tracking Corpus of Machine Translation. - Toon Colman; Margot Fonteyne; Joke Daems; Nicolas Dirix; Lieve Macken (LREC, 2022)

LeConTra: A Learner Corpus of English-to-Dutch News Translation. - Bram Vanroy; Lieve Macken (LREC, 2022)

Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment. - Lieve Macken; Bram Vanroy; Arda Tezcan (EAMT, 2023)

Developing User-centred Approaches to Technological Innovation in Literary Translation (DUAL-T). - Paola Ruffo; Joke Daems; Lieve Macken (EAMT, 2023)

MATEO: MAchine Translation Evaluation Online. - Bram Vanroy; Arda Tezcan; Lieve Macken (EAMT, 2023)

MaTIAS: Machine Translation to Inform Asylum Seekers. - Lieve Macken; Ella Hest; Arda Tezcan; Michaël Lumingu; Katrijn Maryns; July Wilde (EAMT (2), 2024)

Machine Translation for Open Scholarly Communication: Examining the Relationship between Translation Quality and Reading Effort. - Lieve Macken; Vanessa De Wilde; Arda Tezcan (Inf., 2024)

LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering. - Ran Zhang; Wei Zhao; Lieve Macken; Steffen Eger (CoRR, 2025)

Can Peter Pan Survive MT? A Stylometric Study of LLMs, NMTs, and HTs in Children's Literature Translation. - Delu Kong; Lieve Macken (CoRR, 2025)

Decoding Machine Translationese in English-Chinese News: LLMs vs. NMTs. - Delu Kong; Lieve Macken (CoRR, 2025)