Eva Hasler

43 papers A 3B 1Misc 4Journal 16Unranked 19
YearRankTypeTitle / Venue / Authors
2024 — conf
A Preference-driven Paradigm for Enhanced Translation with Large Language Models.
NAACL-HLT
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
2024 J jnl
A Preference-driven Paradigm for Enhanced Translation with Large Language Models.
CoRR
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
2024 — conf
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
ACL (1)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran
2024 J jnl
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
CoRR
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran
2023 A conf
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation.
EACL
Christos Baziotis, Prashant Mathur, Eva Hasler
2023 — conf
Trained MT Metrics Learn to Cope with Machine-translated References.
WMT
Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler
2023 J jnl
Trained MT Metrics Learn to Cope with Machine-translated References.
CoRR
Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler
2022 — conf
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation.
WMT
Tsz Kin Lam, Eva Hasler, Felix Hieber
2022 J jnl
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation.
CoRR
Tsz Kin Lam, Eva Hasler, Felix Hieber
2022 J jnl
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation.
CoRR
Christos Baziotis, Prashant Mathur, Eva Hasler
2022 — conf
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation.
NAACL-HLT
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
2022 J jnl
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation.
CoRR
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
2021 — conf
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation.
EMNLP (1)
Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber
2019 — conf
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation.
WAT@EMNLP-IJCNLP
Weston Feely, Eva Hasler, Adrià de Gispert
2018 — conf
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment.
NAACL-HLT (3)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
2018 J jnl
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment.
CoRR
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
2018 — conf
Neural Machine Translation Decoding with Terminology Constraints.
NAACL-HLT (2)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
2018 J jnl
Neural Machine Translation Decoding with Terminology Constraints.
CoRR
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
2017 B conf
A Comparison of Neural Models for Word Ordering.
INLG
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
2017 J jnl
A Comparison of Neural Models for Word Ordering.
CoRR
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
2017 — conf
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices.
EACL (2)
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
2017 — conf
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies.
EMNLP (System Demonstrations)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
2017 J jnl
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies.
CoRR
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
2017 J jnl
Source sentence simplification for statistical machine translation.
Comput. Speech Lang.
Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne
2016 J jnl
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices.
CoRR
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
2016 — conf
Syntactically Guided Neural Machine Translation.
ACL (2)
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
2016 J jnl
Syntactically Guided Neural Machine Translation.
CoRR
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
2016 — conf
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16.
WMT
Felix Stahlberg, Eva Hasler, Bill Byrne
2016 J jnl
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16.
CoRR
Felix Stahlberg, Eva Hasler, Bill Byrne
2015 J jnl
Multi-Language Image Description with Neural Sequence Models.
CoRR
Desmond Elliott, Stella Frank, Eva Hasler
2014 Misc conf
Combining domain and topic adaptation for SMT.
AMTA
Eva Hasler, Barry Haddow, Philipp Koehn
2014 A conf
Dynamic Topic Adaptation for Phrase-based MT.
EACL
Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow
2014 — conf
Dynamic Topic Adaptation for SMT using Distributional Profiles.
WMT@ACL
Eva Hasler, Barry Haddow, Philipp Koehn
2014 — conf
Edinburgh's Syntax-Based Systems at WMT 2014.
WMT@ACL
Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn
2014 — conf
UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT.
SemEval@COLING
Eva Hasler
2012 Misc conf
Continuous space discriminative language modeling.
ICASSP
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, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
2012 A conf
Deriving conversation-based features from unlabeled speech for discriminative language modeling.
INTERSPEECH
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, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
2012 Misc conf
Hallucinated n-best lists for discriminative language modeling.
ICASSP
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, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
2012 Misc conf
Semi-supervised discriminative language modeling for Turkish ASR.
ICASSP
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, Izhak Shafran, Daniel M. Bikel, Chris Callison-Burch, Yuan Cao, Keith B. Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley
2012 — conf
Sparse lexicalised features and topic adaptation for SMT.
IWSLT
Eva Hasler, Barry Haddow, Philipp Koehn
2012 — conf
The UEDIN systems for the IWSLT 2012 evaluation.
IWSLT
Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Philipp Koehn, Fergus McInnes, Steve Renals, Pawel Swietojanski
2011 J jnl
Margin Infused Relaxed Algorithm for Moses.
Prague Bull. Math. Linguistics
Eva Hasler, Barry Haddow, Philipp Koehn
2007 — conf
Multi-Engine Machine Translation with an Open-Source SMT Decoder.
WMT@ACL
Yu Chen, Andreas Eisele, Christian Federmann, Eva Hasler, Michael Jellinghaus, Silke Theison