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Marianna J. Martindale
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2020 – today
- 2024
- [e1]Marianna J. Martindale, Janice Campbell, Konstantin Savenkov, Shivali Goel:
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, AMTA 2024 - Volume 2: User Track, Chicago, USA, September 30 - October 2, 2024. Association for Machine Translation in the Americas 2024 [contents] - 2023
- [j1]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. Trans. Assoc. Comput. Linguistics 11: 546-564 (2023) - [i3]Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat:
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. CoRR abs/2301.07779 (2023)
2010 – 2019
- 2019
- [c9]Cole A. Lyman, Connor Anderson, Matthew C. Morris, Umesh K. Nandal, Marianna J. Martindale, Mark J. Clement, Gordon Broderick:
When the How Outweighs the What: the Pivotal Importance of Context. BIBM 2019: 2149-2156 - [c8]Matt Post, Shuoyang Ding, Marianna J. Martindale, Winston Wu:
An Exploration of Placeholding in Neural Machine Translation. MTSummit (1) 2019: 182-192 - [c7]Marianna J. Martindale, Marine Carpuat, Kevin Duh, Paul McNamee:
Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. MTSummit (1) 2019: 233-243 - 2018
- [c6]Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. AMTA (1) 2018: 13-25 - [i2]Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. CoRR abs/1802.06041 (2018) - [i1]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - 2017
- [c5]Xing Niu, Marianna J. Martindale, Marine Carpuat:
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output. EMNLP 2017: 2814-2819 - [c4]Jennifer Golbeck, Zahra Ashktorab, Rashad O. Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A. Geller, Quint Gergory, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, Kelly M. Hoffman, Jenny Hottle, Vichita Jienjitlert, Shivika Khare, Ryan Lau, Marianna J. Martindale, Shalmali Naik, Heather L. Nixon, Piyush Ramachandran, Kristine M. Rogers, Lisa Rogers, Meghna Sardana Sarin, Gaurav Shahane, Jayanee Thanki, Priyanka Vengataraman, Zijian Wan, Derek Michael Wu:
A Large Labeled Corpus for Online Harassment Research. WebSci 2017: 229-233 - 2016
- [c3]Marianna J. Martindale:
MoJo: Bringing Hybrid MT to the Center for Applied Machine Translation. AMTA (2) 2016: 654-714 - 2015
- [c2]Amittai Axelrod, Yogarshi Vyas, Marianna J. Martindale, Marine Carpuat:
Class-based N-gram language difference models for data selection. IWSLT 2015 - 2012
- [c1]Marianna J. Martindale:
Can Statistical Post-Editing with a Small Parallel Corpus Save a Weak MT Engine? LREC 2012: 2138-2142
Coauthor Index
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