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Publications

2023

Translations and Open Science : exploring how translation technologies can support multilingualism in scholarly communication (.pdf)

Fiorini, S., Tezcan, A., Vanallemeersch, T., Szoc, S., Migdisi, K., Meeus, L., & Macken, L. (2023).

Adapting machine translation education to the neural era : a case study of MT quality assessment (.pdf)

Macken, L., Vanroy, B., & Tezcan, A. (2023).

MATEO : MAchine Translation Evaluation Online (.pdf)

Vanroy, B., Tezcan, A., & Macken, L. (2023).

2022

Literary translation as a three-stage process : machine translation, post-editing and revision (.pdf)

Macken, L., Vanroy, B., Desmet, L., & Tezcan, A. (2022).

Machine Translation enhanced literary translation (.pdf)

Macken, L., Daems, J, Vanroy, B., & Tezcan, A. (2022).

The use of machine translation in real-life professional translation scenarios (.pdf)

Macken, L., Tezcan, A., Daems, J, & Vanroy, B. (2022).

Evaluating the impact of integrating similar translations into neural machine translation (.pdf)

Tezcan, A., & Bulté, B. (2022).

Dynamic adaptation of neural machine-translation systems through translation exemplars (.pdf)

Tezcan, A. (2022).

Integrating fuzzy matches into sentence-level quality estimation for neural machine translation (.pdf)

Tezcan, A. (2022).

Measuring cross-lingual syntactic similarity (.pdf)

Vanroy, B., De Clercq, O., Tezcan, A., & Macken, L. (2022).

2021

Preface (.pdf)

De Clercq, O., Rigouts Terryn, A., Doğruöz, A.S., Tezcan, A., Vanroy, B., Labat, S., & Macken, L. (2021).

Building a new-generation corpus for empirical translation studies : the Dutch Parallel Corpus 2.0 (.pdf)

Reynaert, R., Macken, L., Tezcan, A., & De Sutter, G. (2021).

Towards a better integration of fuzzy matches in neural machine translation through data augmentation (.pdf)

Tezcan, A., Bulté, B., & Vanroy, B. (2021).

Metrics of syntactic equivalence to assess translation difficulty (.pdf)

Vanroy, B., De Clercq, O., Tezcan, A., Daems, J, & Macken, L. (2021).

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).

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).

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

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

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

Bulté, B., & Tezcan, A. (2019).

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

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

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

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

2018

Dutch compound splitting for bilingual terminology extraction (.pdf)

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

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).

2017

A neural network architecture for detecting grammatical errors in statistical machine translation (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2017).

SCATE taxonomy and corpus of machine translation errors (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2017).

2016

Detecting grammatical errors in machine translation output using dependency parsing and treebank querying (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2016).

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2016).

2015

Annotation Guidelines for English-Dutch Machine Translation Quality Assessment

Tezcan, A., Macken, L., & Daems, J (2015).

UGENT-LT3 SCATE system for machine translation quality estimation (.pdf)

Tezcan, A., Hoste, V., Desmet, B., & Macken, L. (2015).