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Publications

2020

An exploratory study into automated précis grading (.pdf)

De Clercq, O., & Van Hoecke, S. (2020).

Reuniting the sister disciplines of translation and interpreting studies (.pdf)

Defrancq, B., Daems, J, & Vandevoorde, L. (2020).

La selección temática del vocabulario para fines didácticos : evaluación de un acercamiento cuantitativo (.pdf)

Degraeuwe, JRD, & Goethals, P. (2020).

Reflexive pronouns in Spanish Universal Dependencies (.pdf)

Degraeuwe, JRD, & Goethals, P. (2020).

IVESS: Intelligent Vocabulary and Example Selection for Spanish vocabulary learning (.pdf)

Degraeuwe, JRD, & Goethals, P. (2020).

Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level (.pdf)

Fonteyne, M., Tezcan, A., & Macken, L. (2020).

Literary MT under the magnifying glass: Assessing the quality of an NMT-translated Agatha Christie novel (.pdf)

Fonteyne, M., Tezcan, A., & Macken, L. (2020).

Reflexive pronouns in Spanish Universal Dependencies: a critical review (.pdf)

Goethals, P., & Degraeuwe, JRD (2020).

Extracting fine-grained economic events from business news (.pdf)

Jacobs, G.M., & Hoste, V. (2020).

News diversity and recommendation systems : setting the interdisciplinary scene (.pdf)

Joris, G., Colruyt, C., Vermeulen, J., Vercoutere, S., De Grove, F., Van Damme, K., De Clercq, O., Van Hee, C., De Marez, L., Hoste, V., Lievens, E., De Pessemier, T., & Martens, L. (2020).

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0) (.pdf)

Labat, S., Demeester, T., & Hoste, V. (2020).

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings (.pdf)

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

Quantifying the effect of machine translation in a high-quality human translation production process (.pdf)

Macken, L., Prou, D., & Tezcan, A. (2020).

Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (.pdf)

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

TermEval 2020 : shared task on automatic term extraction using the Annotated Corpora for term Extraction Research (ACTER) dataset (.pdf)

Rigouts Terryn, A., Hoste, V., Drouin, P., & Lefever, E. (2020).

Annotated Corpora for Term Extraction Research (ACTER)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

In no uncertain terms : a dataset for monolingual and multilingual automatic term extraction from comparable corpora (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

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

Singh, P., & 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).

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

Singh, P., Bauwelinck, N.B., & 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).

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).

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).

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).

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).

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).

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).