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In press

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).

Reactions to Brexit in images : a multimodal content analysis of shared visual content on Flickr (.pdf)

Bouko, C., De Wilde, J., Decock, S., De Clercq, O., Manchia, V., & Garcia, D. (2019).

Uncovering the language of wine experts (.pdf)

Croijmans, I., Hendrickx, I., Lefever, E., Majid, A., & van den Bosch, A. (2019).

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

Smeuninx, N., De Clerck, B., & Aerts, W. (2019).

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

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

2019

Measuring the impact of sentiment for hate speech detection on Twitter (.pdf)

Bauwelinck, N.B., & Lefever, E. (2019).

Neural fuzzy repair : integrating fuzzy matches into neural machine translation (.pdf)

Bulté, B., & Tezcan, A. (2019).

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

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

Leveraging syntactic parsing to improve event annotation matching (.pdf)

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

Interactive adaptive SMT vs. 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).

Towards an empirically grounded framework for emotion analysis (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2019).

Vocabulary selection for didactic purposes: report on a machine learning approach (.pdf)

Goethals, P., Tezcan, A., & Degraeuwe, JRD (2019).

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

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

Annotation guidelines for labeling English-Dutch cognate pairs (version 1.0) (.pdf)

Labat, S., Vandevoorde, L., & Lefever, E. (2019).

A classification-based approach to cognate detection combining orthographic and semantic similarity information (.pdf)

Labat, S., & Lefever, E. (2019).

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

Macken, L. (2019).

Comparing MT approaches for text normalization (.pdf)

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

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

Matos Veliz, C. (2019).

Validating multilingual hybrid automatic term extraction for search engine optimisation : the use case of EBM-GUIDELINES (.pdf)

Rigouts Terryn, A., Hoste, V., Buysschaert, J., Vander Stichele, R., Van Campen, E., & Lefever, E. (2019).

Analysing the impact of supervised machine learning on automatic term extraction : HAMLET vs TermoStat (.pdf)

Rigouts Terryn, A., Drouin, P., Hoste, V., & Lefever, E. (2019).

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

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

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

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).

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).

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).

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).

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).

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

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