Eva Hasler

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 29

Top Topics

Machine Translation

Brazilian Portuguese

Image Description

Top Venues

Publications

Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. NAACL-HLT (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR (2024)
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR (2024)
Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler
Trained MT Metrics Learn to Cope with Machine-translated References. WMT (2023)
Christos Baziotis, Prashant Mathur, Eva Hasler
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. EACL (2023)
Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler
Trained MT Metrics Learn to Cope with Machine-translated References. CoRR (2023)
Christos Baziotis, Prashant Mathur, Eva Hasler
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. CoRR (2022)
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. CoRR (2022)
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. NAACL-HLT (2022)
Tsz Kin Lam, Eva Hasler, Felix Hieber
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation. WMT (2022)
Tsz Kin Lam, Eva Hasler, Felix Hieber
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation. CoRR (2022)
Eva Hasler, Tobias Domhan, Jonay Trenous, Ke Tran, Bill Byrne, Felix Hieber
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) (2021)
Weston Feely, Eva Hasler, Adrià de Gispert
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation. WAT@EMNLP-IJCNLP (2019)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
Neural Machine Translation Decoding with Terminology Constraints. CoRR (2018)
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne
Neural Machine Translation Decoding with Terminology Constraints. NAACL-HLT (2) (2018)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. CoRR (2018)
Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. NAACL-HLT (3) (2018)
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. EACL (2) (2017)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. EMNLP (System Demonstrations) (2017)
Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne
Source sentence simplification for statistical machine translation. Comput. Speech Lang. 45 (2017)
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
A Comparison of Neural Models for Word Ordering. INLG (2017)
Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. CoRR (2017)
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne
A Comparison of Neural Models for Word Ordering. CoRR (2017)
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
Syntactically Guided Neural Machine Translation. CoRR (2016)
Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. CoRR (2016)
Felix Stahlberg, Eva Hasler, Bill Byrne
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. WMT (2016)
Felix Stahlberg, Eva Hasler, Bill Byrne
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. CoRR (2016)
Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne
Syntactically Guided Neural Machine Translation. ACL (2) (2016)
Desmond Elliott, Stella Frank, Eva Hasler
Multi-Language Image Description with Neural Sequence Models. CoRR (2015)
Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn
Edinburgh's Syntax-Based Systems at WMT 2014. WMT@ACL (2014)
Eva Hasler, Barry Haddow, Philipp Koehn
Dynamic Topic Adaptation for SMT using Distributional Profiles. WMT@ACL (2014)
Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow
Dynamic Topic Adaptation for Phrase-based MT. EACL (2014)
Eva Hasler
UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT. SemEval@COLING (2014)
Eva Hasler, Barry Haddow, Philipp Koehn
Combining domain and topic adaptation for SMT. AMTA (2014)
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
Semi-supervised discriminative language modeling for Turkish ASR. ICASSP (2012)
Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Philipp Koehn, Fergus McInnes, Steve Renals, Pawel Swietojanski
The UEDIN systems for the IWSLT 2012 evaluation. IWSLT (2012)
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
Continuous space discriminative language modeling. ICASSP (2012)
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
Hallucinated n-best lists for discriminative language modeling. ICASSP (2012)
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
Deriving conversation-based features from unlabeled speech for discriminative language modeling. INTERSPEECH (2012)
Eva Hasler, Barry Haddow, Philipp Koehn
Sparse lexicalised features and topic adaptation for SMT. IWSLT (2012)
Eva Hasler, Barry Haddow, Philipp Koehn
Margin Infused Relaxed Algorithm for Moses. Prague Bull. Math. Linguistics 96 (2011)
Yu Chen, Andreas Eisele, Christian Federmann, Eva Hasler, Michael Jellinghaus, Silke Theison
Multi-Engine Machine Translation with an Open-Source SMT Decoder. WMT@ACL (2007)