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ORCIDWilliam J. Byrne
William Byrne – Bill Byrne
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- affiliation: University of Cambridge, UK
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2020 – today
- 2023
[c143]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) 2023: 149-157- [c142]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. EACL (Findings) 2023: 1413-1424 - [c141]Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey. EACL (Findings) 2023: 1691-1705 - [i41]Jinghong Chen, Weizhe Lin, Bill Byrne:
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. CoRR abs/2301.12568 (2023) - [i40]Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne:
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. CoRR abs/2303.09905 (2023) - [i39]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR abs/2303.10699 (2023) - [i38]Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert:
xPQA: Cross-Lingual Product Question Answering across 12 Languages. CoRR abs/2305.09249 (2023) - 2022
- [c140]Tisha Anders, Alexandru Coca, Bill Byrne:
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation. ACL (Findings) 2022: 2836-2841 - [c139]Danielle Saunders, Rosie Sallis, Bill Byrne:
First the Worst: Finding Better Gender Translations During Beam Search. ACL (Findings) 2022: 3814-3823 - [c138]Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
From Rewriting to Remembering: Common Ground for Conversational QA Models. ConvAI@ACL 2022: 70-76 - [c137]Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert:
FocusQA: Open-Domain Question Answering with a Context in Focus. EMNLP (Findings) 2022: 5195-5208 - [c136]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. EMNLP 2022: 11238-11254 - [c135]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 - [c134]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c133]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [i37]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i36]Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
From Rewriting to Remembering: Common Ground for Conversational QA Models. CoRR abs/2204.03930 (2022) - [i35]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) - [i34]Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey. CoRR abs/2208.03197 (2022) - [i33]Weizhe Lin, Bill Byrne:
Retrieval Augmented Visual Question Answering with Outside Knowledge. CoRR abs/2210.03809 (2022) - 2021
- [j34]Marcus Tomalin
, Bill Byrne, Shauna Concannon, Danielle Saunders, Stefanie Ullmann:
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing. Ethics Inf. Technol. 23(3): 419-433 (2021) - [c132]Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne:
Transferable Dialogue Systems and User Simulators. ACL/IJCNLP (1) 2021: 152-166 - [c131]Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale:
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. ACL/IJCNLP (1) 2021: 671-680 - [c130]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. EMNLP (1) 2021: 7871-7881 - [c129]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 - [i32]Weizhe Lin, Bo-Hsiang Tseng, Bill Byrne:
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking. CoRR abs/2104.04466 (2021) - [i31]Danielle Saunders, Rosie Sallis, Bill Byrne:
First the worst: Finding better gender translations during beam search. CoRR abs/2104.07429 (2021) - [i30]Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne:
Transferable Dialogue Systems and User Simulators. CoRR abs/2107.11904 (2021) - 2020
- [c128]Danielle Saunders, Bill Byrne:
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. ACL 2020: 7724-7736 - [c127]Danielle Saunders, Felix Stahlberg, Bill Byrne:
Using Context in Neural Machine Translation Training Objectives. ACL 2020: 7764-7770 - [c126]Danielle Saunders, Weston Feely, Bill Byrne:
Inference-only sub-character decomposition improves translation of unseen logographic characters. WAT@AAC/IJCNLPL 2020: 170-177 - [c125]Danielle Saunders, Bill Byrne:
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 862-869 - [i29]Danielle Saunders, Bill Byrne:
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. CoRR abs/2004.04498 (2020) - [i28]Danielle Saunders, Felix Stahlberg, Bill Byrne:
Using Context in Neural Machine Translation Training Objectives. CoRR abs/2005.01483 (2020) - [i27]Danielle Saunders, Rosie Sallis, Bill Byrne:
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It. CoRR abs/2010.05332 (2020) - [i26]Danielle Saunders, Bill Byrne:
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task. CoRR abs/2010.05333 (2020) - [i25]Danielle Saunders, Weston Feely, Bill Byrne:
Inference-only sub-character decomposition improves translation of unseen logographic characters. CoRR abs/2011.06523 (2020) - [i24]Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery:
The Teacher-Student Chatroom Corpus. CoRR abs/2011.07109 (2020) - [i23]Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale:
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. CoRR abs/2012.12458 (2020)
2010 – 2019
- 2019
- [c124]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. ACL (1) 2019: 222-228 - [c123]Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. BEA@ACL 2019: 168-175 - [c122]Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis:
Neural and FST-based approaches to grammatical error correction. BEA@ACL 2019: 228-239 - [c121]Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen:
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling. EMNLP/IJCNLP (1) 2019: 1273-1278 - [c120]Felix Stahlberg, Bill Byrne:
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP/IJCNLP (1) 2019: 3354-3360 - [c119]Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik:
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. EMNLP/IJCNLP (1) 2019: 4515-4524 - [c118]Felix Stahlberg, Christopher Bryant, Bill Byrne:
Neural Grammatical Error Correction with Finite State Transducers. NAACL-HLT (1) 2019: 4033-4039 - [c117]Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi:
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. SIGdial 2019: 353-360 - [c116]Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles. WMT (3) 2019: 169-174 - [c115]Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne:
CUED@WMT19: EWC&LMs. WMT (2) 2019: 364-373 - [i22]Felix Stahlberg, Christopher Bryant, Bill Byrne:
Neural Grammatical Error Correction with Finite State Transducers. CoRR abs/1903.10625 (2019) - [i21]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Domain Adaptive Inference for Neural Machine Translation. CoRR abs/1906.00408 (2019) - [i20]Felix Stahlberg, Danielle Saunders, Adrià de Gispert, Bill Byrne:
Cued@wmt19: ewc&lms. CoRR abs/1906.05447 (2019) - [i19]Danielle Saunders, Felix Stahlberg, Bill Byrne:
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles. CoRR abs/1906.05786 (2019) - [i18]Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. CoRR abs/1907.00168 (2019) - [i17]Felix Stahlberg, Bill Byrne:
On NMT Search Errors and Model Errors: Cat Got Your Tongue? CoRR abs/1908.10090 (2019) - [i16]Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim:
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. CoRR abs/1909.05358 (2019) - [i15]Bo-Hsiang Tseng, Marek Rei, Pawel Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen:
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling. CoRR abs/1911.11672 (2019) - 2018
- [c114]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT. ACL (2) 2018: 319-325 - [c113]Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne:
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. AMTA (1) 2018: 208-216 - [c112]Felix Stahlberg, Danielle Saunders, Bill Byrne:
An Operation Sequence Model for Explainable Neural Machine Translation. BlackboxNLP@EMNLP 2018: 175-186 - [c111]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 - [c110]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. NAACL-HLT (2) 2018: 506-512 - [c109]Felix Stahlberg, Adrià de Gispert, Bill Byrne:
The University of Cambridge's Machine Translation Systems for WMT18. WMT (shared task) 2018: 504-512 - [i14]Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne:
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. CoRR abs/1803.07204 (2018) - [i13]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) - [i12]Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne:
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT. CoRR abs/1805.00456 (2018) - [i11]Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. CoRR abs/1805.03750 (2018) - [i10]Felix Stahlberg, Adrià de Gispert, Bill Byrne:
The University of Cambridge's Machine Translation Systems for WMT18. CoRR abs/1808.09465 (2018) - [i9]Felix Stahlberg, Danielle Saunders, Bill Byrne:
An Operation Sequence Model for Explainable Neural Machine Translation. CoRR abs/1808.09688 (2018) - 2017
- [j33]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) - [j32]Feroz Farazi, Craig Chapman, Pathmeswaran Raju, William Byrne:
Model-based documentation. Encycl. Semantic Comput. Robotic Intell. 1(1): 1630009:1-1630009:6 (2017) - [c108]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 - [c107]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 - [c106]Felix Stahlberg, Bill Byrne:
Unfolding and Shrinking Neural Machine Translation Ensembles. EMNLP 2017: 1946-1956 - [c105]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. EMNLP 2017: 2074-2080 - [c104]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. INLG 2017: 208-212 - [i8]Felix Stahlberg, Bill Byrne:
Unfolding and Shrinking Neural Machine Translation Ensembles. CoRR abs/1704.03279 (2017) - [i7]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) - [i6]Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne:
A Comparison of Neural Models for Word Ordering. CoRR abs/1708.01809 (2017) - [i5]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. CoRR abs/1708.03492 (2017) - 2016
- [c103]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. ACL (2) 2016 - [c102]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. HLT-NAACL 2016: 856-865 - [c101]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]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. CoRR abs/1604.05073 (2016) - [i3]Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne:
Syntactically Guided Neural Machine Translation. CoRR abs/1605.04569 (2016) - [i2]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) - [i1]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
- [j31]Krishna Sapkota, Pathmeswaran Raju, William J. Byrne, Craig Chapman:
Semantic Economic Models for Bioenergy Projects. Int. J. Semantic Comput. 9(3): 333-352 (2015) - [c100]Gonzalo Iglesias, Adrià de Gispert, Bill Byrne:
Transducer Disambiguation with Sparse Topological Features. EMNLP 2015: 2275-2280 - [c99]Matic Horvat, Ann A. Copestake, Bill Byrne:
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics. IWCS 2015: 107-117 - [c98]Aurelien Waite, Bill Byrne:
The Geometry of Statistical Machine Translation. HLT-NAACL 2015: 376-386 - [c97]Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Fast and Accurate Preordering for SMT using Neural Networks. HLT-NAACL 2015: 1012-1017 - [c96]Krishna Sapkota, Pathmeswaran Raju, William Byrne, Craig Chapman:
Ontology-based economic models for bioenergy and biofuel projects. ICSC 2015: 397-404 - 2014
- [j30]Cyril Allauzen, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias, Michael Riley:
Pushdown Automata in Statistical Machine Translation. Comput. Linguistics 40(3): 687-723 (2014) - [c95]Tong Xiao, Adrià de Gispert, Jingbo Zhu, Bill Byrne:
Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation. COLING 2014: 2064-2074 - [c94]Matic Horvat, William Byrne:
A Graph-Based Approach to String Regeneration. EACL 2014: 85-95 - [c93]Laura Jehl, Adrià de Gispert, Mark Hopkins, Bill Byrne:
Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search. EACL 2014: 239-248 - [c92]Adrià de Gispert, Marcus Tomalin, Bill Byrne:
Word Ordering with Phrase-Based Grammars. EACL 2014: 259-268 - [c91]Krishna Sapkota, William Byrne, Pathmeswaran Raju, Craig Chapman, Lynsey Melville, Daniel Wright, James Scott:
Ontology-Based Pathways Generation for Biomass to Bioenergy Conversion. ICEBE 2014: 213-219 - [c90]Rasmus Dall, Marcus Tomalin, Mirjam Wester, William J. Byrne, Simon King:
Investigating automatic & human filled pause insertion for speech synthesis. INTERSPEECH 2014: 51-55 - 2013
- [j29]John Dines, Hui Liang, Lakshmi Saheer, Matthew Gibson, William Byrne, Keiichiro Oura, Keiichi Tokuda, Junichi Yamagishi, Simon King, Mirjam Wester, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo:
Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. Comput. Speech Lang. 27(2): 420-437 (2013) - [j28]Adrià de Gispert, Graeme W. Blackwood, Gonzalo Iglesias, William Byrne:
N-gram posterior probability confidence measures for statistical machine translation: an empirical study. Mach. Transl. 27(2): 85-114 (2013) - [j27]Matt Shannon, Heiga Zen, William Byrne:
Autoregressive Models for Statistical Parametric Speech Synthesis. IEEE Trans. Speech Audio Process. 21(3): 587-597 (2013) - [c89]Susan Bull, Matthew D. Johnson, Mohammad Alotaibi, William Byrne, Gabi Cierniak:
Visualising Multiple Data Sources in an Independent Open Learner Model. AIED 2013: 199-208 - [c88]Susan Bull, Michael D. Kickmeier-Rust, Ravi K. Vatrapu, Matthew D. Johnson, Klaus Hammermueller, William Byrne, Luis Hernandez-Munoz, Fabrizio Giorgini, Gerhilde Meissl-Egghart:
Learning, Learning Analytics, Activity Visualisation and Open Learner Model: Confusing? EC-TEL 2013: 532-535 - [c87]Matt Shannon, William Byrne:
Fast, low-artifact speech synthesis considering global variance. ICASSP 2013: 7869-7873 - [c86]William Byrne, Lluís Màrquez:
FAUST: Feedback Analysis for User Adaptive Statistical Translation. MTSummit (European projects) 2013 - [c85]Juan Pino, Aurelien Waite, Tong Xiao, Adrià de Gispert, Federico Flego, William Byrne:
The University of Cambridge Russian-English System at WMT13. WMT@ACL 2013: 200-205 - 2012
- [j26]Juan Pino, Aurelien Waite, William Byrne:
Simple and Efficient Model Filtering in Statistical Machine Translation. Prague Bull. Math. Linguistics 98: 5-24 (2012) - [j25]Kei Hashimoto, Junichi Yamagishi, William Byrne, Simon King, Keiichi Tokuda:
Impacts of machine translation and speech synthesis on speech-to-speech translation. Speech Commun. 54(7): 857-866 (2012) - [c84]William Byrne, Russell Beale, Richard Clay:
Suburban Birmingham: designing accessible cultural history using multi-touch tables. BCS HCI 2012: 21-28 - [c83]Aurelien Waite, Graeme W. Blackwood, William Byrne:
Lattice-Based Minimum Error Rate Training Using Weighted Finite-State Transducers with Tropical Polynomial Weights. FSMNLP 2012: 116-125 - [c82]Chris P. Bowers, Russell Beale, William J. Byrne, Chris Creed, Charlie Pinder, Robert J. Hendley:
Interaction issues in computer aided semantic annotation of multimedia. NordiCHI 2012: 534-543 - 2011
- [j24]Matthew Gibson, William Byrne:
Unsupervised Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction. IEEE ACM Trans. Audio Speech Lang. Process. 19(4): 895-904 (2011) - [c81]Gonzalo Iglesias, Cyril Allauzen, William Byrne, Adrià de Gispert, Michael Riley:
Hierarchical Phrase-based Translation Representations. EMNLP 2011: 1373-1383 - [c80]Kei Hashimoto, Junichi Yamagishi, William J. Byrne, Simon King, Keiichi Tokuda:
An analysis of machine translation and speech synthesis in speech-to-speech translation system. ICASSP 2011: 5108-5111 - [c79]Chris P. Bowers, William Byrne, Benjamin R. Cowan, Chris Creed, Robert J. Hendley, Russell Beale:
Choosing your Moment: Interruptions in Multimedia Annotation. INTERACT (2) 2011: 438-453 - [c78]Matt Shannon, Heiga Zen, William J. Byrne:
The Effect of Using Normalized Models in Statistical Speech Synthesis. INTERSPEECH 2011: 121-124 - 2010
- [j23]Adrià de Gispert, Gonzalo Iglesias, Graeme W. Blackwood, Eduardo Rodríguez Banga, William Byrne:
Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow-n Grammars. Comput. Linguistics 36(3): 505-533 (2010) - [c77]