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ORCIDEva Hasler
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2020 – today
- 2024
[c27]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) 2024: 6189-6206- [c26]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: 3385-3403 - [i14]Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR abs/2404.11288 (2024) - [i13]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR abs/2405.20089 (2024) - 2023
- [c25]Christos Baziotis, Prashant Mathur, Eva Hasler:
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. EACL 2023: 3664-3682 - [c24]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. WMT 2023: 983-995 - [i12]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. CoRR abs/2312.00536 (2023) - 2022
- [c23]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: 1861-1874 - [c22]Tsz Kin Lam, Eva Hasler, Felix Hieber:
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation. WMT 2022: 295-309 - [i11]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 abs/2205.06618 (2022) - [i10]Christos Baziotis, Prashant Mathur, Eva Hasler:
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. CoRR abs/2210.04545 (2022) - [i9]Tsz Kin Lam, Eva Hasler, Felix Hieber:
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation. CoRR abs/2210.13281 (2022) - 2021
- [c21]Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber:
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) 2021: 8470-8477
2010 – 2019
- 2019
- [c20]Weston Feely, Eva Hasler, Adrià de Gispert:
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation. WAT@EMNLP-IJCNLP 2019: 45-53 - 2018
- [c19]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: 106-113 - [c18]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. NAACL-HLT (2) 2018: 506-512 - [i8]Gonzalo Iglesias, William Tambellini, Adrià de Gispert, Eva Hasler, Bill Byrne:
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment. CoRR abs/1804.11324 (2018) - [i7]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. CoRR abs/1805.03750 (2018) - 2017
- [j2]Eva Hasler, Adrià de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne:
Source sentence simplification for statistical machine translation. Comput. Speech Lang. 45: 221-235 (2017) - [c17]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: 362-368 - [c16]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: 25-30 - [c15]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. INLG 2017: 208-212 - [i6]Felix Stahlberg, Eva Hasler, Danielle Saunders, Bill Byrne:
SGNMT - A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies. CoRR abs/1707.06885 (2017) - [i5]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. CoRR abs/1708.01809 (2017) - 2016
- [c14]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. ACL (2) 2016 - [c13]Felix Stahlberg, Eva Hasler, Bill Byrne:
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. WMT 2016: 377-384 - [i4]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. CoRR abs/1605.04569 (2016) - [i3]Felix Stahlberg, Eva Hasler, Bill Byrne:
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16. CoRR abs/1606.04963 (2016) - [i2]Felix Stahlberg, Adrià de Gispert, Eva Hasler, Bill Byrne:
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. CoRR abs/1612.03791 (2016) - 2015
- [i1]Desmond Elliott, Stella Frank, Eva Hasler:
Multi-Language Image Description with Neural Sequence Models. CoRR abs/1510.04709 (2015) - 2014
- [c12]Eva Hasler, Barry Haddow, Philipp Koehn:
Combining domain and topic adaptation for SMT. AMTA 2014: 139-151 - [c11]Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow:
Dynamic Topic Adaptation for Phrase-based MT. EACL 2014: 328-337 - [c10]Eva Hasler:
UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT. SemEval@COLING 2014: 688-693 - [c9]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn:
Edinburgh's Syntax-Based Systems at WMT 2014. WMT@ACL 2014: 207-214 - [c8]Eva Hasler, Barry Haddow, Philipp Koehn:
Dynamic Topic Adaptation for SMT using Distributional Profiles. WMT@ACL 2014: 445-456 - 2012
- [c7]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: 2129-2132 - [c6]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: 5001-5004 - [c5]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: 5025-5028 - [c4]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: 202-205 - [c3]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: 46-53 - [c2]Eva Hasler, Barry Haddow, Philipp Koehn:
Sparse lexicalised features and topic adaptation for SMT. IWSLT 2012: 268-275 - 2011
- [j1]Eva Hasler, Barry Haddow, Philipp Koehn:
Margin Infused Relaxed Algorithm for Moses. Prague Bull. Math. Linguistics 96: 69-78 (2011)
2000 – 2009
- 2007
- [c1]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: 193-196
Coauthor Index
aka: Bill Byrne
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