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In press

Measuring the readability of sustainability reports : a corpus-based analysis through standard formulae and NLP (.pdf)

Smeuninx, N., De Clerck, B., & Aerts, W. (2016).

Reactions to Brexit in images : a multimodal content analysis of shared visual content on Flickr

Bouko, C., De Wilde, J., Decock, S., De Clercq, O., Manchia, V., & Garcia, D. (2018).

LT3 at SemEval-2019 Task 5 : multilingual detection of hate speech against immigrants and women in Twitter (hatEval)

Bauwelinck, N.B., Jacobs, G.M., Hoste, V., & Lefever, E. (2019).

The trade-off between quantity and quality : comparing a large web corpus and a small focused corpus for medical terminology extraction

Hoste, V., Vanopstal, K., Rigouts Terryn, A., & Lefever, E. (2019).

Estimating word-level quality of statistical machine translation output using monolingual information alone (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2019).

Correlating process and product data to get an insight into translation difficulty

Vanroy, B., De Clercq, O., & Macken, L. (2019).

2019

EventDNA : guidelines for entities and events in dutch news texts (v1.0) (.pdf)

Colruyt, C., De Clercq, O., & Hoste, V. (2019).

Comprehensive Integration of Linguistic Features in a Human Inspired Speech Recognition Architecture

Matos Veliz, C. (2019).

Estimating post-editing time using a gold-standard set of machine translation errors (.pdf)

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

A translation robot for each translator? A comparative study of manual translation and post-editing of machine translations: process, quality and translator attitude (.pdf)

Daems, J (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).

Stylometric text analysis for dutch-speaking adolescents with autism spectrum disorder (.pdf)

De Bruyne, L., Verhoeven, B., & Daelemans, W. (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).

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).

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).

Dutch compound splitting for bilingual terminology extraction (.pdf)

Macken, L., & Tezcan, A. (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).

Multilingual hybrid automatic term extraction : the use case of ebpracticenet (.pdf)

Rigouts Terryn, A., Hoste, V., Buysschaert, J., & Lefever, E. (2018).

Dear stakeholder : exploring the language of sustainability reporting : a closer look at readability, sentiment and perception (.pdf)

Smeuninx, N. (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).

Exploring the fine-grained analysis and automatic detection of irony on Twitter (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2018).

SemEval-2018 task 3 : irony detection in English tweets (.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).

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).

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).

2017

Improved treebank querying: a facelift for GrETEL (.pdf)

Augustinus, L., Vanroy, B., & Vandeghinste, V. (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).

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).

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).

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).

Towards a corpus-based, statistical approach of translation quality : measuring and visualizing linguistic deviance in student translations (.pdf)

De Sutter, G., Cappelle, B., De Clercq, O., Loock, R., & Plevoets, K. (2017).

Online suicidality detection: can we help the helper?

Desmet, B., & Hoste, V. (2017).

SCAP_TT : tagging and lemmatising Spanish tourism discourse, and beyond (.pdf)

Goethals, P., Lefever, E., & Macken, L. (2017).

An automatic part-of-speech tagger for Middle Low German (.pdf)

Koleva, M., Farasyn, M., Desmet, B., Breitbarth, A., & Hoste, V. (2017).

In the eye of the beer-holder : lexical descriptors of aroma and taste sensations in beer reviews (.pdf)

Lefever, E., Allein, L., & Jacobs, G.M. (2017).