SMT-CAT integration in a Technical Domain: Handling XML Markup Using Pre & Post-processing Methods. - Arda Tezcan; Vincent Vandeghinste (EAMT, 2011)

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)

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)

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation. - Bram Bulté; Arda Tezcan (ACL (1), 2019)

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)

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)

Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation. - Arda Tezcan; Bram Bulté; Bram Vanroy (Informatics, 2021)

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

Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars. - Arda Tezcan (EAMT, 2022)

Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation. - Arda Tezcan; Bram Bulté (Inf., 2022)

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

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

Automatic detection of (potential) factors in the source text leading to gender bias in machine translation. - Janiça Hackenbuchner; Arda Tezcan; Joke Daems (EAMT (2), 2024)

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)

Improving Fuzzy Match Augmented Neural Machine Translation in Specialised Domains through Synthetic Data. - Arda Tezcan; Alina Skidanova; Thomas Moerman (Prague Bull. Math. Linguistics, 2024)