Publications
2022
The lexical demands of English and French L2 textbooks: A cross-lingual corpus study (.pdf)
Van Parys, A, De Wilde, V., Macken, L., & Montero Perez, M. (2022).
LeConTra : a learner corpus of English-to-Dutch news translation (.pdf)
Vanroy, B., & Macken, L. (2022).
Measuring cross-lingual syntactic similarity (.pdf)
Vanroy, B., De Clercq, O., Tezcan, A., & Macken, L. (2022).
2021
It’s all in the eyes: an eye tracking experiment to assess the readability of machine translated literature
Colman, T., Fonteyne, M., Daems, J, & Macken, L. (2021).
It's all in the eyes: using eye-tracking to assess the readability of machine translated literature
Colman, T., Fonteyne, M., Daems, J, & Macken, L. (2021).
Building a new-generation corpus for empirical translation studies : the Dutch Parallel Corpus 2.0 (.pdf)
Reynaert, R., Macken, L., Tezcan, A., & De Sutter, G. (2021).
Metrics of syntactic equivalence to assess translation difficulty (.pdf)
Vanroy, B., De Clercq, O., Tezcan, A., Daems, J, & Macken, L. (2021).
Comparing the effect of product-based metrics on the translation process (.pdf)
Vanroy, B., Schaeffer, M., & Macken, L. (2021).
2020
Post-editing human translations and revising machine translations : impact on efficiency and quality (.pdf)
Daems, J, & Macken, L. (2020).
Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level (.pdf)
Fonteyne, M., Tezcan, A., & Macken, L. (2020).
Literary MT under the magnifying glass: Assessing the quality of an NMT-translated Agatha Christie novel (.pdf)
Fonteyne, M., Tezcan, A., & Macken, L. (2020).
Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (.pdf)
Macken, L., Fonteyne, M., Tezcan, A., & Daems, J (2020).
Quantifying the effect of machine translation in a high-quality human translation production process (.pdf)
Macken, L., Prou, D., & Tezcan, A. (2020).
Estimating word-level quality of statistical machine translation output using monolingual information alone (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (2020).
Gutenberg goes neural : comparing features of Dutch human translations with raw neural machine translation outputs in a corpus of English literary classics (.pdf)
Webster, R., Fonteyne, M., Tezcan, A., Macken, L., & Daems, J (2020).
2019
Interactive adaptive SMT versus interactive adaptive NMT : a user experience evaluation (.pdf)
Daems, J, & Macken, L. (2019).
Van CAT tot TenT : van computerondersteund vertalen tot vertaalomgevingen
Daems, J, & Macken, L. (2019).
NMT’s wonderland where people turn into rabbits : a study on the comprehensibility of newly invented words in NMT output (.pdf)
Macken, L., Van Brussel, LVB, & Daems, J (2019).
Pilot study on medical translations in lay language : post-editing by language specialists, domain specialists or both? (.pdf)
Rigouts Terryn, A., Macken, L., Lefever, E., Vander Stichele, R., Vanneste, K, & Buysschaert, J. (2019).
When a `sport' is a person and other issues for NMT of novels (.pdf)
Tezcan, A., Daems, J, & Macken, L. (2019).
Estimating post-editing time using a gold-standard set of machine translation errors (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (2019).
Improving the translation environment for professional translators (.pdf)
Vandeghinste, V., Vanallemeersch, T., Augustinus, L., Bulté, B., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M., van der Lek-Ciudin, I., Steurs, F., Rigouts Terryn, A., Lefever, E., Tezcan, A., Macken, L., Hoste, V., Daems, J, Buysschaert, J., Coppers, S., Van den Bergh, J., & Luyten, K. (2019).
Modelling word translation entropy and syntactic equivalence with machine learning (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
Predicting syntactic equivalence between source and target sentences (.pdf)
Vanroy, B., Tezcan, A., & Macken, L. (2019).
Correlating process and product data to get an insight into translation difficulty (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
2018
How do students cope with machine translation output of Multi-Word Units? An exploratory study (.pdf)
Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2018).
Measuring comprehension and perception of neural machine translated texts : a pilot study (.pdf)
Macken, L., & Ghyselen, I. (2018).
Dutch compound splitting for bilingual terminology extraction (.pdf)
Macken, L., & Tezcan, A. (2018).
A fine-grained error analysis of NMT, PBMT and RBMT output for English-to-Dutch (.pdf)
Van Brussel, LVB, Tezcan, A., & Macken, L. (2018).
Smart Computer-Aided Translation Environment (SCATE): Highlights (.pdf)
Vandeghinste, V., Vanallemeersch, T., Bulté, B., Augustinus, L., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M., van der Lek-Ciudin, I., Steurs, F., Rigouts Terryn, A., Lefever, E., Tezcan, A., Macken, L., Coppers, S., Brulmans, J., Van den Bergh, J., Luyten, K., & Coninx, K. (2018).
Predicting difficulty in translation : a pilot study (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2018).
Using the Dutch Parallel Corpus to calculate English-Dutch word translation entropy (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2018).
2017
Identifying the machine translation error types with the greatest impact on post-editing effort (.pdf)
Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).
Translationese and post-editese : how comparable is comparable quality? (.pdf)
Daems, J, De Clercq, O., & Macken, L. (2017).
Translation methods and experience : a comparative analysis of human translation and post-editing with students and professional translators (.pdf)
Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).
SCAP_TT : tagging and lemmatising Spanish tourism discourse, and beyond (.pdf)
Goethals, P., Lefever, E., & Macken, L. (2017).
Hoe een computer zelf leert vertalen (.pdf)
Macken, L. (2017).
A neural network architecture for detecting grammatical errors in statistical machine translation (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (2017).
SCATE taxonomy and corpus of machine translation errors (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (2017).
2016
The effectiveness of consulting external resources during translation and postediting of general text types (.pdf)
Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2016).
Dutch hypernym detection : does decompounding help? (.pdf)
Rigouts Terryn, A., Macken, L., & Lefever, E. (2016).
Multi-modular text normalization of Dutch user-generated content (.pdf)
Schulz, S., De Pauw, G., De Clercq, O., Desmet, B., Hoste, V., Daelemans, W., & Macken, L. (2016).
Detecting grammatical errors in machine translation output using dependency parsing and treebank querying (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (2016).