Publications
2019
When a `sport' is a person and other issues for NMT of novels (.pdf)
Tezcan, A., Daems, J, & 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).
Correlating process and product data to get an insight into translation difficulty (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
Modelling word translation entropy and syntactic equivalence with machine learning (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
Sentiment analysis of French political tweets : #MacronPrésident (.pdf)
Vanrysselberghe, A., & Lefever, E. (2019).
2018
SMHD : a large-scale resource for exploring online language usage for multiple mental health conditions (.pdf)
Cohan, A., Desmet, B., Yates, A., Soldaini, L., MacAvaney, S., & Goharian, N. (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).
LT3 at SemEval-2018 Task 1 : a classifier chain to detect emotions in tweets (.pdf)
De Bruyne, L., De Clercq, O., & Hoste, V. (2018).
Stylometric text analysis for Dutch-speaking adolescents with autism spectrum disorder (.pdf)
De Bruyne, L., Verhoeven, B., & Daelemans, W. (2018).
Online suicide prevention through optimised text classification (.pdf)
Desmet, B., & Hoste, V. (2018).
MIsA : multilingual 'IsA' extraction from Corpora (.pdf)
Faralli, S., Lefever, E., & Paolo Ponzetto, S. (2018).
Economic event detection in company-specific news text (.pdf)
Jacobs, G.M., Lefever, E., & Hoste, V. (2018).
IEST: WASSA-2018 implicit emotions shared task (.pdf)
Klinger, R., De Clercq, O., Mohammad, S., & Balahur, A. (2018).
Discovering the language of wine reviews : a text mining account (.pdf)
Lefever, E., Hendrickx, I., Croijmans, I., Van den Bosch, A., & Majid, A. (2018).
Detecting machine-translated subtitles in large parallel corpora (.pdf)
Lison, P., & Doğruöz, A.S. (2018).
RSDD-time : temporal annotation of self-reported mental health diagnoses (.pdf)
MacAvaney, S., Desmet, B., Cohan, A., Soldaini, L., Yates, A., Zirikly, A., & Goharian, N. (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).
Guidelines for Dutch Normalization of User Generated Content (.pdf)
Matos Veliz, C. (2018).
Multilingual hybrid automatic term extraction : the use case of ebpracticenet (.pdf)
Rigouts Terryn, A., Hoste, V., Buysschaert, J., & Lefever, E. (2018).
A gold standard for multilingual automatic term extraction from comparable corpora : term structure and translation equivalents (.pdf)
Rigouts Terryn, A., Hoste, V., & Lefever, E. (2018).
Conceptualizing translation revision competence : a pilot study on the ‘fairness and tolerance’ attitudinal component (.pdf)
Robert, I., Ureel, J., Remael, A., & Rigouts Terryn, 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).
We usually don't like going to the dentist : using common sense to detect irony on Twitter (.pdf)
Van Hee, C., Lefever, E., & Hoste, V. (2018).
Automatic detection of cyberbullying in social media text (.pdf)
Van Hee, C., Jacobs, G.M., Emmery, C., Desmet, B., Lefever, E., Verhoeven, B., De Pauw, G., Daelemans, W., & Hoste, V. (2018).
SemEval-2018 task 3 : irony detection in English tweets (.pdf)
Van Hee, C., Lefever, E., & Hoste, V. (2018).
Exploring the fine-grained analysis and automatic detection of irony on Twitter (.pdf)
Van Hee, C., Lefever, E., & Hoste, V. (2018).
The SCATE prototype : a smart computer-aided translation environment (.pdf)
Vandeghinste, V., Coppers, S., Van den Bergh, J., Bulté, B., Rigouts Terryn, A., Lefever, E., van der Lek, I., Coninx, K., & Steurs, F. (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
Improved treebank querying: a facelift for GrETEL (.pdf)
Augustinus, L., Vanroy, B., & Vandeghinste, V. (2017).
Integrating meaning into quality evaluation of machine translation (.pdf)
Başkaya, O., Yildiz, E., Tunaoğlu, D., Eren, M., & Doğruöz, A.S. (2017).
Cartoons as interdiscourse : a quali-quantitative analysis of social representations based on collective imagination in cartoons produced after the Charlie Hebdo attack
Bouko, C., Calabrese, L., & De Clercq, O. (2017).
STYLENE : an environment for stylometry and readability research for Dutch (.pdf)
Daelemans, W., De Clercq, O., & Hoste, V. (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).
Automatische vertaalsystemen : hel of hulp? (.pdf)
Daems, J (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).
Towards an integrated pipeline for aspect-based sentiment analysis in various domains (.pdf)
De Clercq, O., Lefever, E., Jacobs, G.M., Carpels, T., & Hoste, V. (2017).
Hello ABSA! Collaboration between LT3 and Hello Customer to develop an aspect-based sentiment analysis pipeline
De Clercq, O., Lefever, E., Jacobs, G.M., Carpels, T., & Hoste, V. (2017).