Arda Tezcan

Tezcan, Arda, et al. “Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation.” INFORMATICS-BASEL, vol. 8, no. 1, 2021, doi:10.3390/informatics8010007.

Vanroy, Bram, et al. “Metrics of Syntactic Equivalence to Assess Translation Difficulty.” Explorations in Empirical Translation Process Research, edited by Michael Carl, vol. 3, Springer, 2021.

Tezcan, Arda, et al. “Estimating Word-Level Quality of Statistical Machine Translation Output Using Monolingual Information Alone.” NATURAL LANGUAGE ENGINEERING, vol. 26, no. 1, 2020, pp. 73–94, doi:10.1017/S1351324919000111.

Macken, Lieve, et al. “Assessing the Comprehensibility of Automatic Translations (ArisToCAT).” Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT2020), edited by André Martins Mikel L. Forcada, European Association for Machine Translation (EAMT), 2020, pp. 485–86.

Fonteyne, Margot, et al. “Literary Machine Translation under the Magnifying Glass : Assessing the Quality of an NMT-Translated Detective Novel on Document Level.” 12th International Conference on Language Resources and Evaluation Conference (LREC 2020), Proceedings, edited by Nicoletta Calzolari et al., European Language Resources Association (ELRA), 2020, pp. 3783–91.