Access to information in Europe. - Philip Williams (Comput. Commun., 1978)

SPROUT: A program for structure generation. - Valerie J. Gillet; A. Peter Johnson; Paulina Mata; Sandor Sike; Philip Williams (J. Comput. Aided Mol. Des., 1993)

A New Robotics Platform for Neuromorphic Vision: Beobots. - Daesu Chung; Reid Hirata; T. Nathan Mundhenk; Jen Ng; Robert J. Peters; Eric Pichon; April Tsui; Tong Ventrice; Dirk B. Walther; Philip Williams; Laurent Itti (Biologically Motivated Computer Vision, 2002)

More Linguistic Annotation for Statistical Machine Translation. - Philipp Koehn; Barry Haddow; Philip Williams; Hieu Hoang (WMT@ACL, 2010)

Agreement Constraints for Statistical Machine Translation into German. - Philip Williams; Philipp Koehn (WMT@EMNLP, 2011)

GHKM Rule Extraction and Scope-3 Parsing in Moses. - Philip Williams; Philipp Koehn (WMT@NAACL-HLT, 2012)

Learning to Prune: Context-Sensitive Pruning for Syntactic MT. - Wenduan Xu; Yue Zhang 004; Philip Williams; Philipp Koehn (ACL (2), 2013)

Edinburgh's Syntax-Based Machine Translation Systems. - Maria Nadejde; Philip Williams; Philipp Koehn (WMT@ACL, 2013)

Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT. - Philip Williams; Philipp Koehn (HyTra@EACL, 2014)

EU-BRIDGE MT: Combined Machine Translation. - Markus Freitag; Stephan Peitz; Joern Wuebker; Hermann Ney; Matthias Huck; Rico Sennrich; Nadir Durrani; Maria Nadejde; Philip Williams; Philipp Koehn; Teresa Herrmann; Eunah Cho; et al. (WMT@ACL, 2014)

Edinburgh's Syntax-Based Systems at WMT 2014. - Philip Williams; Rico Sennrich; Maria Nadejde; Matthias Huck; Eva Hasler; Philipp Koehn (WMT@ACL, 2014)

Edinburgh's Syntax-Based Systems at WMT 2015. - Philip Williams; Rico Sennrich; Maria Nadejde; Matthias Huck; Philipp Koehn (WMT@EMNLP, 2015)

A tree does not make a well-formed sentence: Improving syntactic string-to-tree statistical machine translation with more linguistic knowledge. - Rico Sennrich; Philip Williams; Matthias Huck (Comput. Speech Lang., 2015)

Edinburgh's Statistical Machine Translation Systems for WMT16. - Philip Williams; Rico Sennrich; Maria Nadejde; Matthias Huck; Barry Haddow; Ondrej Bojar (WMT, 2016)

Syntax-based Statistical Machine Translation - Philip Williams; Rico Sennrich; Matt Post; Philipp Koehn (Morgan & Claypool Publishers, 2016)

The QT21 Combined Machine Translation System for English to Latvian. - Jan-Thorsten Peter; Hermann Ney; Ondrej Bojar; Ngoc-Quan Pham; Jan Niehues; Alex Waibel; Franck Burlot; François Yvon; Marcis Pinnis; Valters Sics; Jasmijn Bastings; Miguel Rios; et al. (WMT, 2017)

The University of Edinburgh's Neural MT Systems for WMT17. - Rico Sennrich; Alexandra Birch; Anna Currey; Ulrich Germann; Barry Haddow; Kenneth Heafield; Antonio Valerio Miceli Barone; Philip Williams (WMT, 2017)

Syntax-Based Statistical Machine Translation Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn (University of Edinburgh, University of Edinburgh, Johns Hopkins University, Johns Hopkins University), edited by Graeme Hirst, volume 33), 2016, xvii+190 pp; paperback, ISBN 978-1-62705-900-8; ebook, ISBN 978-1-62705-502-4; doi: 10.2200/S00716ED1V04Y201604HLT033, $70. - Philip Williams; Rico Sennrich; Matt Post; Philipp Koehn; Graeme Hirst; Christian Hadiwinoto (Comput. Linguistics, 2017)

A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. - Aljoscha Burchardt; Vivien Macketanz; Jon Dehdari; Georg Heigold; Jan-Thorsten Peter; Philip Williams (Prague Bull. Math. Linguistics, 2017)

Samsung and University of Edinburgh's System for the IWSLT 2018 Low Resource MT Task. - Philip Williams; Marcin Chochowski; Pawel Przybysz; Rico Sennrich; Barry Haddow; Alexandra Birch (IWSLT, 2018)

Samsung and University of Edinburgh's System for the IWSLT 2019. - Joanna Wetesko; Marcin Chochowski; Pawel Przybysz; Philip Williams; Roman Grundkiewicz; Rico Sennrich; Barry Haddow; Antonio Valerio Miceli Barone; Alexandra Birch (IWSLT, 2019)

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. - Biao Zhang 006; Philip Williams; Ivan Titov 001; Rico Sennrich (ACL, 2020)

ELITR: European Live Translator. - Ondrej Bojar; Dominik Machácek; Sangeet Sagar; Otakar Smrz; Jonás Kratochvíl; Ebrahim Ansari; Dario Franceschini; Chiara Canton; Ivan Simonini; Thai-Son Nguyen; Felix Schneider; Sebastian Stüker; et al. (EAMT, 2020)

ELITR Non-Native Speech Translation at IWSLT 2020. - Dominik Machácek; Jonás Kratochvíl; Sangeet Sagar; Matús Zilinec; Ondrej Bojar; Thai-Son Nguyen; Felix Schneider; Philip Williams; Yuekun Yao (IWSLT, 2020)

Removing European Language Barriers with Innovative Machine Translation Technology. - Dario Franceschini; Chiara Canton; Ivan Simonini; Armin Schweinfurth; Adelheid Glott; Sebastian Stüker; Thai-Son Nguyen; Felix Schneider; Thanh-Le Ha; Alex Waibel; Barry Haddow; Philip Williams; et al. (IWLTP@LREC, 2020)

The University of Edinburgh's English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task. - Rachel Bawden; Alexandra Birch; Radina Dobreva; Arturo Oncevay; Antonio Valerio Miceli Barone; Philip Williams (WMT@EMNLP, 2020)

ELITR Multilingual Live Subtitling: Demo and Strategy. - Ondrej Bojar; Dominik Machácek; Sangeet Sagar; Otakar Smrz; Jonás Kratochvíl; Peter Polak; Ebrahim Ansari; Mohammad Mahmoudi; Rishu Kumar; Dario Franceschini; Chiara Canton; Ivan Simonini; et al. (EACL (System Demonstrations), 2021)

The ELITR ECA Corpus. - Philip Williams; Barry Haddow (CoRR, 2021)

Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset. - Yujie Dai; Brian Sullivan; Axel Montout; Amy Dillon; Chris Waller; Peter Acs; Rachel Denholm; Philip Williams; Alastair D. Hay; Raúl Santos-Rodríguez; Andrew W. Dowsey (CoRR, 2024)

Innovative Spatial-Temporal Attention Network (STAN) for Skeleton-Based Timed-Up-and-Go Analysis to Stratify Lower Back Pain Severity With Monocular RGB Camera. - Liyun Gong; Pandey Shourya Prasad; Chan Chi Leung; Gautam Siddharth Kashyap; Saeid Pourroostaei Ardakani; Ross Clifford; Philip Williams; Miao Yu 001 (IEEE Access, 2025)

Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. - Brian Sullivan; Edward Barker 002; Louis MacGregor; Leo Gorman; Philip Williams; Ranjeet Bhamber; Matt Thomas; Stefan Gurney; Catherine Hyams; Alastair Whiteway; Jennifer A. Cooper; Chris McWilliams; et al. (BMC Medical Informatics Decis. Mak., 2025)