Robust language pair-independent sub-tree alignment. - John Tinsley; Ventsislav Zhechev; Mary Hearne; Andy Way (MTSummit, 2007)

Capturing translational divergences with a statistical tree-to-tree aligner. - Mary Hearne; John Tinsley; Ventsislav Zhechev; Andy Way (TMI, 2007)

Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008. - Yanjun Ma; John Tinsley; Hany Hassan; Jinhua Du; Andy Way (IWSLT, 2008)

Comparing Constituency and Dependency Representations for SMT Phrase-Extraction. - Mary Hearne; Sylwia Ozdowska; John Tinsley (TALN (Articles courts), 2008)

MaTrEx: The DCU MT System for WMT 2008. - John Tinsley; Yanjun Ma; Sylwia Ozdowska; Andy Way (WMT@ACL, 2008)

Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation. - John Tinsley; Mary Hearne; Andy Way (CICLing, 2009)

Automatically generated parallel treebanks and their exploitability in machine translation. - John Tinsley; Andy Way (Mach. Transl., 2009)

OpenMaTrEx: A Free/Open-Source Marker-Driven Example-Based Machine Translation System. - Sandipan Dandapat; Mikel L. Forcada; Declan Groves; Sergio Penkale; John Tinsley; Andy Way (IceTAL, 2010)

Experiments on Domain Adaptation for Patent Machine Translation in the PLuTO project. - Alexandru Ceausu; John Tinsley; Jian Zhang 003; Andy Way (EAMT, 2011)

PLUTO: Automated Solutions for Patent Translation. - John Tinsley; Alexandru Ceausu; Jian Zhang (ESIRMT/HyTra@EACL, 2012)

Exploiting Parallel Corpus for Handling Out-of-Vocabulary Words. - Juan Luo; John Tinsley; Yves Lepage (PACLIC, 2013)

What? Why? How? - Factors that impact the success of commercial MT projects. - John Tinsley (AMTA (2), 2016)

Is Neural Machine Translation the New State of the Art? - Sheila Castilho; Joss Moorkens; Federico Gaspari; Iacer Calixto; John Tinsley; Andy Way (Prague Bull. Math. Linguistics, 2017)

Improving Robustness in Real-World Neural Machine Translation Engines. - Rohit Gupta; Patrik Lambert; Raj Nath Patel; John Tinsley (MTSummit (2), 2019)

Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. - Andy Way; Petra Bago; Jane Dunne; Federico Gaspari; Andre Kåsen; Gauti Kristmannsson; Helen McHugh; Jon Arild Olsen; Dana Davis Sheridan; Páraic Sheridan; John Tinsley (EAMT, 2020)

Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. - Petra Bago; Sheila Castilho; Jane Dunne; Federico Gaspari; Andre Kåsen; Gauti Kristmannsson; Jon Arild Olsen; Natália Resende; Níels Rúnar Gíslason; Dana Davis Sheridan; Páraic Sheridan; John Tinsley; et al. (EAMT, 2022)