• Christopher Hokamp (2013-2018)
    • Project: (FP7 EXPERT) Investigation of the ideal infrastructure for computer-aided translation: pipeline with NLP tools for pre/post-processing, SMT, EBMT and TM techniques-a hybrid CAT tool
    • Thesis: Deep Interactive Text Prediction and Quality Estimation in Translation Interfaces
  • Liangyou Li (2013-2016)
    • Project: (FP7 EXPERT) Investigation of how each individual corpusbased translation approach (TM, EBMT and SMT) can benefit from each other
    • Thesis: Dependency Graph-Based Statistical Machine Translation
  • Jian Zhang (2013-2017)
    • Project: (CNGL II T&L) Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
    • Thesis: Domain Adaptation for Statistical Machine Translation and Neural Machine Translation
  • Iacer Galixto (2013-2017)
    • Project: (CNGL II T&L+S&D) Machine Translation and Cross Language Information Retrieval
    • Thesis: Incorporating Visual Information into Neural Machine Translation
  • Peyman Passban (2014-2017)
    • Project: (CNGL II T&L) Syntax and Semantics-Enhanced Machine Learning Based MT
    • Thesis: Machine Translation of Morphologically Rich Languages Using Deep Neural Networks
  • Longyue Wang (2015-2019)
    • Project: (ADAPT Theme B) Deep Learning for Machine Translation
    • Thesis: Discourse-Aware Neural Machine Translation
  • Daria Bogdanova (2015-2018)
    • Project: (ADAPT Theme A) Acquiring Representations for Multiple Domains, Languages and Modalities
    • Thesis: Learning to represent, categorise and rank in community question answering