Multi-Engine Machine Translation with an Open-Source SMT Decoder. - Yu Chen 012; Andreas Eisele 001; Christian Federmann; Eva Hasler; Michael Jellinghaus; Silke Theison (WMT@ACL, 2007)

Margin Infused Relaxed Algorithm for Moses. - Eva Hasler; Barry Haddow; Philipp Koehn (Prague Bull. Math. Linguistics, 2011)

Semi-supervised discriminative language modeling for Turkish ASR. - Arda Çelebi; Hasim Sak; Erinç Dikici; Murat Saraclar; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Kenji Sagae; et al. (ICASSP, 2012)

Hallucinated n-best lists for discriminative language modeling. - Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Continuous space discriminative language modeling. - Puyang Xu; Sanjeev Khudanpur; Maider Lehr; Emily Tucker Prud'hommeaux; Nathan Glenn; Damianos G. Karakos; Brian Roark; Kenji Sagae; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Deriving conversation-based features from unlabeled speech for discriminative language modeling. - Damianos G. Karakos; Brian Roark; Izhak Shafran; Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Sanjeev Khudanpur; Murat Saraclar; Daniel M. Bikel; Mark Dredze; et al. (INTERSPEECH, 2012)

The UEDIN systems for the IWSLT 2012 evaluation. - Eva Hasler; Peter Bell 001; Arnab Ghoshal; Barry Haddow; Philipp Koehn; Fergus McInnes; Steve Renals; Pawel Swietojanski (IWSLT, 2012)

Sparse lexicalised features and topic adaptation for SMT. - Eva Hasler; Barry Haddow; Philipp Koehn (IWSLT, 2012)

Combining domain and topic adaptation for SMT. - Eva Hasler; Barry Haddow; Philipp Koehn (AMTA, 2014)

Dynamic Topic Adaptation for Phrase-based MT. - Eva Hasler; Phil Blunsom; Philipp Koehn; Barry Haddow (EACL, 2014)

UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT. - Eva Hasler (SemEval@COLING, 2014)

Dynamic Topic Adaptation for SMT using Distributional Profiles. - Eva Hasler; Barry Haddow; Philipp Koehn (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)

Multi-Language Image Description with Neural Sequence Models. - Desmond Elliott; Stella Frank; Eva Hasler (CoRR, 2015)

Syntactically Guided Neural Machine Translation. - Felix Stahlberg; Eva Hasler; Aurelien Waite; Bill Byrne (ACL (2), 2016)

The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. - Felix Stahlberg; Eva Hasler; Bill Byrne (WMT, 2016)

Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. - Felix Stahlberg; Adrià de Gispert; Eva Hasler; Bill Byrne (EACL (2), 2017)

SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. - Felix Stahlberg; Eva Hasler; Danielle Saunders; Bill Byrne (EMNLP (System Demonstrations), 2017)

A Comparison of Neural Models for Word Ordering. - Eva Hasler; Felix Stahlberg; Marcus Tomalin; Adrià de Gispert; Bill Byrne (INLG, 2017)

Source sentence simplification for statistical machine translation. - Eva Hasler; Adrià de Gispert; Felix Stahlberg; Aurelien Waite; Bill Byrne (Comput. Speech Lang., 2017)

Neural Machine Translation Decoding with Terminology Constraints. - Eva Hasler; Adrià de Gispert; Gonzalo Iglesias; Bill Byrne (NAACL-HLT (2), 2018)

Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. - Gonzalo Iglesias; William Tambellini; Adrià de Gispert; Eva Hasler; Bill Byrne (NAACL-HLT (3), 2018)

Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation. - Weston Feely; Eva Hasler; Adrià de Gispert (WAT@EMNLP-IJCNLP, 2019)

Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. - Eva Hasler; Tobias Domhan; Jonay Trénous; Ke Tran; Bill Byrne; Felix Hieber (EMNLP (1), 2021)

The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. - Tobias Domhan; Eva Hasler; Ke Tran; Sony Trenous; Bill Byrne; Felix Hieber (NAACL-HLT, 2022)

Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation. - Tsz Kin Lam; Eva Hasler; Felix Hieber (WMT, 2022)

Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. - Christos Baziotis; Prashant Mathur; Eva Hasler (EACL, 2023)

Trained MT Metrics Learn to Cope with Machine-translated References. - Jannis Vamvas; Tobias Domhan; Sony Trenous; Rico Sennrich; Eva Hasler (WMT, 2023)

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. - David Stap; Eva Hasler; Bill Byrne; Christof Monz; Ke Tran (ACL (1), 2024)

A Preference-driven Paradigm for Enhanced Translation with Large Language Models. - Dawei Zhu; Sony Trenous; Xiaoyu Shen 001; Dietrich Klakow; Bill Byrne; Eva Hasler (NAACL-HLT, 2024)

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. - David Stap; Eva Hasler; Bill Byrne; Christof Monz; Ke M. Tran (CoRR, 2024)