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Publications

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).

Mysterie van de dag : waarom vindt een automatisch vertaalsysteem soms nieuwe woorden uit? (.pdf)

Macken, L. (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).

Predicting syntactic equivalence between source and target sentences (.pdf)

Vanroy, B., Tezcan, A., & Macken, L. (2019).

Modelling word translation entropy and syntactic equivalence with machine learning (.pdf)

Vanroy, B., De Clercq, O., & 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).

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).

Translationese and post-editese : how comparable is comparable quality? (.pdf)

Daems, J, De Clercq, O., & 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).

SCATE taxonomy and corpus of machine translation errors (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2017).

A neural network architecture for detecting grammatical errors in statistical machine translation (.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).

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2016).

2015

The impact of machine translation error types on post-editing effort indicators (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

Comparing HT and PE using advanced research tools

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

Annotation Guidelines for English-Dutch Machine Translation Quality Assessment

Tezcan, A., Macken, L., & Daems, J (2015).

UGENT-LT3 SCATE system for machine translation quality estimation (.pdf)

Tezcan, A., Hoste, V., Desmet, B., & Macken, L. (2015).

Technology for large-scale translation of clinical practice guidelines : a pilot study of the performance of a hybrid human and computer-assisted approach (.pdf)

Van de Velde, S, Macken, L., Vanneste, K, Goossens, M, Vanschoenbeek, J, Aertgeerts, B, Vanopstal, K., Vander Stichele, R., & Buysschaert, J. (2015).

2014

Two sides of the same coin : assessing translation quality in two steps through adequacy and acceptability error analysis (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

Snelheid vs. kwaliteit: schuilt er wel winst in het gebruik van automatische vertaalsystemen? (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

On the origin of errors: a fine-grained analysis of MT and PE errors and their relationship (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

Lost in post-editing: Identifying the MT error types that are most problematic for student post-editors

Daems, J, Macken, L., Vandepitte, S., & Hartsuiker, R. (2014).

Using the crowd for readability prediction (.pdf)

De Clercq, O., Hoste, V., Desmet, B., van Oosten, P., De Cock, M., & Macken, L. (2014).

Dutch parallel corpus en SoNaR (.pdf)

Macken, L., De Clercq, O., Desmet, B., & Hoste, V. (2014).

From input to output: the potential of parallel corpora for CALL (.pdf)

Montero Perez, M., Paulussen, H., Macken, L., & Desmet, P. (2014).

Terminologie: op het snijvlak van ambacht en technologie (.pdf)

Vanopstal, K., Macken, L., Lefever, E., Van de Kauter, M., Buysschaert, J., & Hoste, V. (2014).

2013

Annotation Guidelines for English-Dutch Translation Quality Assessment, version 1.1 (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2013).

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 (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2013).

Faster is not always better, but what if it’s not worse? A comparative study of human translation and post-edited machine translation quality

Daems, J, & Macken, L. (2013).

Machine Translation: Friend or Foe? Translator Attitude, Process, Productivity and Quality in Human Translation and Post-editing Machine Translation

Daems, J, Tondeleir, L., & Macken, L. (2013).