Can Statistical Post-Editing with a Small Parallel Corpus Save a Weak MT Engine? - Marianna J. Martindale (LREC, 2012)

Class-based N-gram language difference models for data selection. - Amittai Axelrod; Yogarshi Vyas; Marianna J. Martindale; Marine Carpuat (IWSLT, 2015)

MoJo: Bringing Hybrid MT to the Center for Applied Machine Translation. - Marianna J. Martindale (AMTA (2), 2016)

A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output. - Xing Niu 001; Marianna J. Martindale; Marine Carpuat (EMNLP, 2017)

A Large Labeled Corpus for Online Harassment Research. - 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; et al. (WebSci, 2017)

Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. - Marianna J. Martindale; Marine Carpuat (AMTA (1), 2018)

An Empirical Exploration of Curriculum Learning for Neural Machine Translation. - Xuan Zhang 008; Gaurav Kumar; Huda Khayrallah; Kenton Murray; Jeremy Gwinnup; Marianna J. Martindale; Paul McNamee; Kevin Duh; Marine Carpuat (CoRR, 2018)

When the How Outweighs the What: the Pivotal Importance of Context. - Cole A. Lyman; Connor Anderson 001; Matthew C. Morris; Umesh K. Nandal; Marianna J. Martindale; Mark J. Clement; Gordon Broderick (BIBM, 2019)

Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. - Marianna J. Martindale; Marine Carpuat; Kevin Duh; Paul McNamee (MTSummit (1), 2019)

An Exploration of Placeholding in Neural Machine Translation. - Matt Post; Shuoyang Ding; Marianna J. Martindale; Winston Wu (MTSummit (1), 2019)

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. - Weijia Xu; Sweta Agrawal; Eleftheria Briakou; Marianna J. Martindale; Marine Carpuat (Trans. Assoc. Comput. Linguistics, 2023)