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Publications

2020

LT3 at SemEval-2020 Task 8 : multi-modal multi-task learning for memotion analysis (.pdf)

Singh, P., Bauwelinck, N.B., & Lefever, E. (2020).

LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text (.pdf)

Singh, P., & Lefever, E. (2020).

Sentiment analysis for Hinglish code-mixed tweets by means of cross-lingual word embeddings (.pdf)

Singh, P., & Lefever, E. (2020).

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

Smeuninx, N., De Clerck, B., & Aerts, W. (2020).

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

Tezcan, A., Hoste, V., & Macken, L. (2020).

LT3 at SemEval-2020 Task 7 : comparing feature-based and transformer-based approaches to detect funny headlines (.pdf)

Vanroy, B., Labat, S., Kaminska, OK, Lefever, E., & Hoste, V. (2020).

Gutenberg goes neural : comparing features of Dutch human translations with raw neural machine translation outputs in a corpus of English literary classics (.pdf)

Webster, R., Fonteyne, M., Tezcan, A., Macken, L., & Daems, J (2020).

2019

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

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

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).

Interactive adaptive SMT versus 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).

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).

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

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

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

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

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).

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).

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).

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).

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).

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).

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).

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).