|A large labeled corpus for online harassment research|
J Golbeck, Z Ashktorab, RO Banjo, A Berlinger, S Bhagwan, C Buntain, ...
Proceedings of the 2017 ACM on web science conference, 229-233, 2017
|A study of style in machine translation: Controlling the formality of machine translation output|
X Niu, M Martindale, M Carpuat
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
|An empirical exploration of curriculum learning for neural machine translation|
X Zhang, G Kumar, H Khayrallah, K Murray, J Gwinnup, MJ Martindale, ...
arXiv preprint arXiv:1811.00739, 2018
|Class-based n-gram language difference models for data selection|
A Axelrod, Y Vyas, M Martindale, M Carpuat, J Hopkins
IWSLT (International Workshop on Spoken Language Translation), 180-187, 2015
|Fluency over adequacy: a pilot study in measuring user trust in imperfect MT|
MJ Martindale, M Carpuat
arXiv preprint arXiv:1802.06041, 2018
|The UMD Machine Translation Systems at IWSLT 2015|
A Axelrod, A Elgohary, M Martindale, K Nguyen, X Niu, Y Vyas, M Carpuat
Proceedings of IWSLT, 2015
|When the How Outweighs the What: the Pivotal Importance of Context|
CA Lyman, C Anderson, M Morris, UK Nandal, MJ Martindale, M Clement, ...
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
|Analyzing a fake news authorship network|
C Buntain, J Golbeck, BE Auxier, BG Assefa, K Boyd, KM Byers, G Chawla, ...
iConference 2019 Proceedings, 2019
|Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation|
M Martindale, M Carpuat, K Duh, P McNamee
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 233-243, 2019
|An Exploration of Placeholding in Neural Machine Translation|
M Post, S Ding, M Martindale, W Wu
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 182-192, 2019
|Can Statistical Post-Editing with a Small Parallel Corpus Save a Weak MT Engine?|
LREC, 2138-2142, 2012