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Publications

2019

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

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

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

Bauwelinck, N.B., & 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. (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).

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

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

Van CAT tot TenT : van computerondersteund vertalen tot vertaalomgevingen

Daems, J, & Macken, L. (2019).

Interactive adaptive SMT versus interactive adaptive NMT : a user experience evaluation (.pdf)

Daems, J, & Macken, L. (2019).

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

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

Comparison of automatic vs. manual language identification in multilingual social media texts (.pdf)

Frey, J., Stemle, E., & Doğruöz, A.S. (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).

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).

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

Matos Veliz, C. (2019).

Comparing MT approaches for text normalization (.pdf)

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

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).

Multilingual term extraction from comparable corpora : informativeness of monolingual term extraction features (.pdf)

Steyaert, K., & Rigouts Terryn, A. (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).

Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (.pdf)

(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).

Proceedings of HUSO 2019, The fifth international conference on human and social analytics (.pdf)

(2019).

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

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