Research output per year
Research output per year
Personal profile
Current courses
Click here for my courses.
Education/Academic qualification
Computer science, PhD, Dublin City University
1 Oct 2015 → 1 Sep 2019
Computer science, Master’s Degree, KU Leuven
1 Sep 2013 → 1 Aug 2014
Linguistics and theory of literature, Master’s Degree, KU Leuven
1 Sep 2012 → 1 Aug 2013
Linguistics and theory of literature, Bachelor’s Degree, KU Leuven
1 Sep 2009 → 1 Jul 2012
Keywords
- NLP
- Machine Translation
- Linguistics
- Computational Linguistics
- Gender Bias
- Algorithmic Bias
Fingerprint
Dive into the research topics where Eva Vanmassenhove is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
-
A Case Study of Natural Gender Phenomena in Translation: A Comparison of Google Translate, Bing {M}icrosoft Translator and DeepL for English to Italian, French and Spanish
Rescigno, A. A., Monti, J., Way, A. & Vanmassenhove, E., Oct 2020, A Case Study of Natural Gender Phenomena in Translation: A Comparison of Google Translate, Bing {M}icrosoft Translator and DeepL for English to Italian, French and Spanish. Workshop on the Impact of Machine Translation (iMpacT 2020) at Association for Machine Translation in the Americas (AMTA), p. 62 90 p. (Workshop on the Impact of Machine Translation (iMpacT 2020)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
-
Getting gender right in neural machine translation
Vanmassenhove, E., Hardmeier, C. & Way, A., 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 3003-3008 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access20 Citations (Scopus) -
ABI neural ensemble model for gender prediction adapt Bar-ilan submission for the Clin29 shared task on gender prediction
Vanmassenhove, E., Moryossef, A., Poncelas, A., Way, A. & Shterionov, D., 2019, CEUR Workshop Proceedings.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
-
ABI neural ensemble model for gender prediction adapt Bar-ilan submission for the Clin29 shared task on gender prediction
Vanmassenhove, E., Moryossef, A., Poncelas, A., Way, A. & Shterionov, D., 2019. 9 p.Research output: Contribution to conference › Paper › Other research output
-
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
Vanmassenhove, E., Shterionov, D. & Way, A., 1 Aug 2019, Proceedings of Machine Translation Summit XVII Volume 1: Research Track. Dublin, Ireland: European Association for Machine Translation, p. 222-232 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access