Marianna J. Martindale
TítuloCitado porAño
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
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
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
Fluency over adequacy: A pilot study in measuring user trust in imperfect MT
MJ Martindale, M Carpuat
arXiv preprint arXiv:1802.06041, 2018
Analyzing a fake news authorship network
C Buntain, J Golbeck, B 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?
MJ Martindale
LREC, 2138-2142, 2012
The UMD Machine Translation Systems at IWSLT 2015
A Axelrod, A Elgohary, M Martindale, K Nguyễn, X Niu, Y Vyas, M Carpuat
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Artículos 1–10