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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
- 2024
[c156]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL (1) 2024: 5294-5316- [c155]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL (1) 2024: 5333-5347 - [c154]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 - [c153]Philipp Christmann, Svitlana Vakulenko, Ionut Sorodoc, Bill Byrne, Adrià de Gispert:
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision. EMNLP (Findings) 2024: 14301-14310 - [c152]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. NAACL (Short Papers) 2024: 391-398 - [c151]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. NAACL (Short Papers) 2024: 508-518 - [c150]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 - [i54]Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne:
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. CoRR abs/2402.08327 (2024) - [i53]Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon:
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR abs/2403.10704 (2024) - [i52]Igor Sterner, Weizhe Lin, Jinghong Chen, Bill Byrne:
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches. CoRR abs/2403.11317 (2024) - [i51]Jinghong Chen, Weizhe Lin, Jingbiao Mei, Bill Byrne:
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. CoRR abs/2404.06854 (2024) - [i50]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) - [i49]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) - [i48]Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Bill Byrne:
On Extending Direct Preference Optimization to Accommodate Ties. CoRR abs/2409.17431 (2024) - [i47]Philipp Christmann, Svitlana Vakulenko, Ionut-Teodor Sorodoc, Bill Byrne, Adrià de Gispert:
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision. CoRR abs/2410.08623 (2024) - 2023
- [c149]Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert:
xPQA: Cross-Lingual Product Question Answering in 12 Languages. ACL (industry) 2023: 103-115 - [c148]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. ACL (2) 2023: 1557-1566 - [c147]Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
An Inner Table Retriever for Robust Table Question Answering. ACL (1) 2023: 9909-9926 - [c146]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) 2023: 149-157 - [c145]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 - [c144]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 - [c143]Svitlana Vakulenko, Bill Byrne, Adrià de Gispert:
Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. ECAI 2023: 2378-2385 - [c142]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. NeurIPS 2023 - [c141]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. SIGDIAL 2023: 444-456 - [i46]Jinghong Chen, Weizhe Lin, Bill Byrne:
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation. CoRR abs/2301.12568 (2023) - [i45]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) - [i44]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR abs/2303.10699 (2023) - [i43]Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert:
xPQA: Cross-Lingual Product Question Answering across 12 Languages. CoRR abs/2305.09249 (2023) - [i42]Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne:
Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns. CoRR abs/2309.13448 (2023) - [i41]Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne:
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. CoRR abs/2309.17133 (2023) - [i40]Junxiao Shen
, John J. Dudley, Jingyao Zheng, Bill Byrne, Per Ola Kristensson:
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques. CoRR abs/2310.08101 (2023) - [i39]Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin:
Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning. CoRR abs/2311.08110 (2023) - [i38]Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. CoRR abs/2311.08380 (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]Graeme W. Blackwood, Adrià de Gispert, William J. Byrne:
Efficient Path Counting Transducers for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices. ACL (2) 2010: 27-32 - [c76]Mikko Kurimo, William Byrne, John Dines, Philip N. Garner, Matthew Gibson, Yong Guan, Teemu Hirsimäki, Reima Karhila, Simon King, Hui Liang, Keiichiro Oura, Lakshmi Saheer, Matt Shannon, Sayaka Shiota, Jilei Tian:
Personalising Speech-To-Speech Translation in the EMIME Project. ACL (System Demonstrations) 2010: 48-53 - [c75]Graeme W. Blackwood, Adrià de Gispert, William Byrne:
Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices. COLING 2010: 71-79 - [c74]Adrià de Gispert, Juan Pino, William J. Byrne:
Hierarchical Phrase-Based Translation Grammars Extracted from Alignment Posterior Probabilities. EMNLP 2010: 545-554 - [c73]Matthew Gibson, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo, William Byrne:
Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction. ICASSP 2010: 4642-4645 - [c72]Matt Shannon, William Byrne:
Autoregressive clustering for HMM speech synthesis. INTERSPEECH 2010: 829-832 - [c71]William Byrne:
Hierarchical phrase-based translation with weighted finite state transducers. IWSLT 2010 - [c70]Mirjam Wester, John Dines, Matthew Gibson, Hui Liang, Yi-Jian Wu, Lakshmi Saheer, Simon King, Keiichiro Oura, Philip N. Garner, William Byrne, Yong Guan, Teemu Hirsimäki, Reima Karhila, Mikko Kurimo, Matt Shannon, Sayaka Shiota, Jilei Tian, Keiichi Tokuda, Junichi Yamagishi:
Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. SSW 2010: 192-197 - [c69]Juan Pino, Gonzalo Iglesias, Adrià de Gispert, Graeme W. Blackwood, Jamie Brunning, William Byrne:
The CUED HiFST System for the WMT10 Translation Shared Task. WMT@ACL 2010: 155-160
2000 – 2009
- 2009
- [j22]Gonzalo Iglesias, Adrià de Gispert, Eduardo Rodríguez Banga, William Byrne:
El Sistema HiFST Aplicado a la Tarea de Castellano-Inglés del Europarl. Proces. del Leng. Natural 43: 207-214 (2009) - [c68]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Graeme W. Blackwood, William Byrne:
Overview and Results of Morpho Challenge 2009. CLEF (1) 2009: 578-597 - [c67]Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Graeme W. Blackwood, William J. Byrne:
Overview and Results of Morpho Challenge 2009. CLEF (Working Notes) 2009 - [c66]Gonzalo Iglesias, Adrià de Gispert, Eduardo Rodríguez Banga, William J. Byrne:
Rule Filtering by Pattern for Efficient Hierarchical Translation. EACL 2009: 380-388 - [c65]Matt Shannon, William Byrne:
Autoregressive HMMs for speech synthesis. INTERSPEECH 2009: 400-403 - [c64]Adrià de Gispert, Sami Virpioja, Mikko Kurimo, William J. Byrne:
Minimum Bayes Risk Combination of Translation Hypotheses from Alternative Morphological Decompositions. HLT-NAACL (Short Papers) 2009: 73-76 - [c63]Jamie Brunning, Adrià de Gispert, William J. Byrne:
Context-Dependent Alignment Models for Statistical Machine Translation. HLT-NAACL 2009: 110-118 - [c62]Gonzalo Iglesias, Adrià de Gispert, Eduardo Rodríguez Banga, William J. Byrne:
Hierarchical Phrase-Based Translation with Weighted Finite State Transducers. HLT-NAACL 2009: 433-441 - 2008
- [j21]Yonggang Deng, William J. Byrne:
HMM Word and Phrase Alignment for Statistical Machine Translation. IEEE Trans. Speech Audio Process. 16(3): 494-507 (2008) - [c61]Graeme W. Blackwood, Adrià de Gispert, William Byrne:
Phrasal Segmentation Models for Statistical Machine Translation. COLING (Posters) 2008: 19-22 - [c60]Graeme W. Blackwood, Adrià de Gispert, Jamie Brunning, William Byrne:
Large-Scale Statistical Machine Translation with Weighted Finite State Transducers. FSMNLP 2008: 39-49 - [c59]Fred Morris, Barbara Bullock, William Byrne:
The academic computers for TERPS (ACT) program at the University of Maryland College Park. SIGUCCS 2008: 325-326 - [c58]Graeme W. Blackwood, Adrià de Gispert, Jamie Brunning, William Byrne:
European Language Translation with Weighted Finite State Transducers: The CUED MT System for the 2008 ACL Workshop on SMT. WMT@ACL 2008: 131-134 - 2007
- [j20]Veera Venkataramani, Shantanu Chakrabartty, William Byrne:
Ginisupport vector machines for segmental minimum Bayes risk decoding of continuous speech. Comput. Speech Lang. 21(3): 423-442 (2007) - [j19]Yonggang Deng, Shankar Kumar, William Byrne:
Segmentation and alignment of parallel text for statistical machine translation. Nat. Lang. Eng. 13(3): 235-260 (2007) - [c57]Xunying Liu, William J. Byrne, Mark J. F. Gales, Adrià de Gispert, Marcus Tomalin, Philip C. Woodland, Kai Yu:
Discriminative language model adaptation for Mandarin broadcast speech transcription and translation. ASRU 2007: 153-158 - [c56]Khe Chai Sim, William J. Byrne, Mark J. F. Gales, Hichem Sahbi, Philip C. Woodland:
Consensus Network Decoding for Statistical Machine Translation System Combination. ICASSP (4) 2007: 105-108 - [e1]Hujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings. Lecture Notes in Computer Science 4881, Springer 2007, ISBN 978-3-540-77225-5 [contents] - 2006
- [j18]William Byrne:
Minimum Bayes Risk Estimation and Decoding in Large Vocabulary Continuous Speech Recognition. IEICE Trans. Inf. Syst. 89-D(3): 900-907 (2006) - [j17]Jing Li, Thomas Zheng, William Byrne, Daniel Jurafsky:
A Dialectal Chinese Speech Recognition Framework. J. Comput. Sci. Technol. 21(1): 106-115 (2006) - [j16]Shankar Kumar, Yonggang Deng, William Byrne:
A weighted finite state transducer translation template model for statistical machine translation. Nat. Lang. Eng. 12(1): 35-75 (2006) - [j15]Vlasios Doumpiotis, William Byrne:
Lattice segmentation and minimum Bayes risk discriminative training for large vocabulary continuous speech recognition. Speech Commun. 48(2): 142-160 (2006) - [j14]Vaibhava Goel, Shankar Kumar, William Byrne:
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. 14(1): 356-357 (2006) - [c55]Lambert Mathias, William Byrne:
Statistical Phrase-Based Speech Translation. ICASSP (1) 2006: 561-564 - [c54]Yonggang Deng, William J. Byrne:
MTTK: An Alignment Toolkit for Statistical Machine Translation. HLT-NAACL 2006 - 2005
- [j13]Asela Gunawardana, William Byrne:
Convergence Theorems for Generalized Alternating Minimization Procedures. J. Mach. Learn. Res. 6: 2049-2073 (2005) - [j12]Eric Fosler-Lussier, William Byrne, Daniel Jurafsky:
Editorial. Speech Commun. 46(2): 117-118 (2005) - [j11]Stavros Tsakalidis, Vlasios Doumpiotis, William J. Byrne:
Discriminative linear transforms for feature normalization and speaker adaptation in HMM estimation. IEEE Trans. Speech Audio Process. 13(3): 367-376 (2005) - [c53]Peter Lonsdale, Russell Beale, William J. Byrne:
Using Context Awareness to Enhance Visitor Engagement in a Gallery Space. BCS HCI 2005: 101-111 - [c52]Stavros Tsakalidis, William Byrne:
Acoustic Training from Heterogeneous Data Sources: Experiments in Mandarin Conversational Telephone Speech Transcription. ICASSP (1) 2005: 461-464 - [c51]Veera Venkataramani, William Byrne:
Lattice Segmentation and Support Vector Machines for Large Vocabulary Continuous Speech Recognition. ICASSP (1) 2005: 817-820 - [c50]Josef Psutka, Pavel Ircing, Josef V. Psutka, Jan Hajic, William J. Byrne, Jirí Mírovský:
Automatic transcription of Czech, Russian, and Slovak spontaneous speech in the MALACH project. INTERSPEECH 2005: 1349-1352 - [c49]Shankar Kumar, William J. Byrne:
Local Phrase Reordering Models for Statistical Machine Translation. HLT/EMNLP 2005: 161-168 - [c48]Yonggang Deng, William J. Byrne:
HMM Word and Phrase Alignment for Statistical Machine Translation. HLT/EMNLP 2005: 169-176 - 2004
- [j10]Vaibhava Goel, Shankar Kumar, William Byrne:
Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. 12(3): 234-249 (2004) - [j9]William Byrne, David S. Doermann, Martin Franz, Samuel Gustman, Jan Hajic, Douglas W. Oard, Michael Picheny, Josef Psutka, Bhuvana Ramabhadran, Dagobert Soergel, Todd Ward, Wei-Jing Zhu:
Automatic recognition of spontaneous speech for access to multilingual oral history archives. IEEE Trans. Speech Audio Process. 12(4): 420-435 (2004) - [c47]Josef Psutka, Jan Hajic, William Byrne:
The development of ASR for Slavic languages in the MALACH project. ICASSP (3) 2004: 749-752 - [c46]Vlasios Doumpiotis, William Byrne:
Pinched lattice minimum Bayes risk discriminative training for large vocabulary continuous speech recognition. INTERSPEECH 2004: 1717-1720 - [c45]Izhak Shafran, William Byrne:
Task-specific minimum Bayes-risk decoding using learned edit distance. INTERSPEECH 2004: 1945-1948 - [c44]Josef Psutka, Pavel Ircing, Jan Hajic, Vlasta Radová, Josef V. Psutka, William J. Byrne, Samuel Gustman:
Issues in Annotation of the Czech Spontaneous Speech Corpus in the MALACH project. LREC 2004 - [c43]Shankar Kumar, William J. Byrne:
Minimum Bayes-Risk Decoding for Statistical Machine Translation. HLT-NAACL 2004: 169-176 - 2003
- [c42]Vlasios Doumpiotis, Stavros Tsakalidis, William Byrne:
Discriminative training for segmental minimum Bayes risk decoding. ICASSP (1) 2003: 136-139 - [c41]Josef Psutka, Pavel Ircing, Josef V. Psutka, Vlasta Radová, William J. Byrne, Jan Hajic, Jirí Mírovský, Samuel Gustman:
Large vocabulary ASR for spontaneous czech in the MALACH project. INTERSPEECH 2003: 1821-1824 - [c40]Vlasios Doumpiotis, Stavros Tsakalidis, William J. Byrne:
Lattice segmentation and minimum Bayes risk discriminative training. INTERSPEECH 2003: 1985-1988 - [c39]Okan Kolak, William J. Byrne, Philip Resnik:
A Generative Probabilistic OCR Model for NLP Applications. HLT-NAACL 2003 - [c38]Shankar Kumar, William J. Byrne:
A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation. HLT-NAACL 2003 - [c37]Douglas W. Oard, David S. Doermann, Bonnie J. Dorr, Daqing He, Philip Resnik, Amy Weinberg, William J. Byrne, Sanjeev Khudanpur, David Yarowsky, Anton Leuski, Philipp Koehn, Kevin Knight:
Desparately Seeking Cebuano. HLT-NAACL 2003 - [c36]Josef Psutka, Pavel Ircing, Josef V. Psutka, Vlasta Radová, William J. Byrne, Veera Venkataramani, Jan Hajic, Samuel Gustman:
Towards Automatic Transcription of Spontaneous Czech Speech in the MALACH Project. TSD 2003: 214-219 - [c35]Josef Psutka, Ilja Iljuchin, Pavel Ircing, Josef V. Psutka, Václav Trejbal, William J. Byrne, Jan Hajic, Samuel Gustman:
Building LVCSR System for Transcription of Spontaneously Pronounced Russian Testimonies in the MALACH Project: Initial Steps and First Results. TSD 2003: 327-332 - 2002
- [j8]Fang Zheng, Zhanjiang Song, Pascale Fung, William J. Byrne:
Mandarin Pronunciation Modeling Based on CASS Corpus. J. Comput. Sci. Technol. 17(3): 249-263 (2002) - [c34]Shankar Kumar, William Byrne:
Minimum Bayes-Risk Word Alignments of Bilingual Texts. EMNLP 2002: 140-147 - [c33]Geoffrey Zweig, Jeff A. Bilmes, Thomas Richardson, Karim Filali, Karen Livescu, Peng Xu, Kirk Jackson, Yigal Brandman, Eric D. Sandness, Eva Holtz, Jerry Torres, Bill Byrne:
Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop. ICASSP 2002: 93-96 - [c32]Shankar Kumar, William Byrne:
Risk based lattice cutting for segmental minimum Bayes-risk decoding. INTERSPEECH 2002: 373-376 - [c31]Fang Zheng, Zhanjiang Song, Pascale Fung, William Byrne:
Reducing pronunciation lexicon confusion and using more data without phonetic transcription for pronunciation modeling. INTERSPEECH 2002: 2461-2464 - [c30]Stavros Tsakalidis, Vlasios Doumpiotis, William Byrne:
Discriminative linear transforms for feature normalization and speaker adaptation in HMM estimation. INTERSPEECH 2002: 2585-2588 - [c29]Samuel Gustman, Dagobert Soergel, Douglas W. Oard, William J. Byrne, Michael Picheny, Bhuvana Ramabhadran, Douglas Greenberg:
Supporting access to large digital oral history archives. JCDL 2002: 18-27 - [c28]Douglas W. Oard, Dina Demner-Fushman, Jan Hajic, Bhuvana Ramabhadran, Samuel Gustman, William J. Byrne, Dagobert Soergel, Bonnie J. Dorr, Philip Resnik, Michael Picheny:
Cross-Language Access to Recorded Speech in the MALACH Project. TSD 2002: 57-64 - [c27]Josef Psutka, Pavel Ircing, Josef V. Psutka, Vlasta Radová, William J. Byrne, Jan Hajic, Samuel Gustman, Bhuvana Ramabhadran:
Automatic Transcription of Czech Language Oral History in the MALACH Project: Resources and Initial Experiments. TSD 2002: 253-260 - 2001
- [j7]Asela Gunawardana, William Byrne:
Discounted likelihood linear regression for rapid speaker adaptation. Comput. Speech Lang. 15(1): 15-38 (2001) - [c26]William Byrne, Veera Venkataramani, Terri Kamm, Thomas Fang Zheng, Zhanjiang Song, Pascale Fung, Yi Liu, Umar Ruhi:
Automatic generation of pronunciation lexicons for Mandarin spontaneous speech. ICASSP 2001: 569-572 - [c25]Fang Zheng, Zhanjiang Song, Pascale Fung, William Byrne:
Modeling pronunciation variation using context-dependent weighting and b/s refined acoustic modeling. INTERSPEECH 2001: 57-60 - [c24]Pavel Ircing, Pavel Krbec, Jan Hajic, Josef Psutka, Sanjeev Khudanpur, Frederick Jelinek, William Byrne:
On large vocabulary continuous speech recognition of highly inflectional language - czech. INTERSPEECH 2001: 487-490 - [c23]Asela Gunawardana, William Byrne:
Discriminative speaker adaptation with conditional maximum likelihood linear regression. INTERSPEECH 2001: 1203-1206 - [c22]Vaibhava Goel, Shankar Kumar, William Byrne:
Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH 2001: 2569-2572 - [c21]Frederick Jelinek, William J. Byrne, Sanjeev Khudanpur, Barbora Hladká, Hermann Ney, Franz Josef Och, J. Curín, Josef Psutka:
Robust Knowledge Discovery from Parallel Speech and Text Sources. HLT 2001 - 2000
- [j6]Vaibhava Goel, William J. Byrne:
Minimum Bayes-risk automatic speech recognition. Comput. Speech Lang. 14(2): 115-135 (2000) - [j5]William Byrne, Asela Gunawardana:
Comments on "Efficient training algorithms for HMMs using incremental estimation". IEEE Trans. Speech Audio Process. 8(6): 751-754 (2000) - [c20]Asela Gunawardana, William Byrne:
Robust estimation for rapid speaker adaptation using discounted likelihood techniques. ICASSP 2000: 985-988 - [c19]William Byrne, Peter Beyerlein, Juan M. Huerta, Sanjeev Khudanpur, B. Marthi, John Morgan, Nino Peterek, Joe Picone, Dimitra Vergyri, W. Wang:
Towards language independent acoustic modeling. ICASSP 2000: 1029-1032 - [c18]John W. McDonough, Veera Venkataramani, William Byrne:
On the incremental addition of regression classes for speaker adaptation. ICASSP 2000: 1539-1542 - [c17]Vaibhava Goel, Shankar Kumar, William Byrne:
Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH 2000: 139-142 - [c16]Aijun Li, Fang Zheng, William Byrne, Pascale Fung, Terri Kamm, Yi Liu, Zhanjiang Song, Umar Ruhi, Veera Venkataramani, Xiaoxia Chen:
CASS: a phonetically transcribed corpus of mandarin spontaneous speech. INTERSPEECH 2000: 485-488 - [c15]Dimitra Vergyri, Stavros Tsakalidis, William Byrne:
Minimum risk acoustic clustering for multilingual acoustic model combination. INTERSPEECH 2000: 873-876 - [c14]William J. Byrne, Jan Hajic, Pavel Krbec, Pavel Ircing, Josef Psutka:
Morpheme Based Language Models for Speech Recognition of Czech. TSD 2000: 211-216
1990 – 1999
- 1999
- [j4]Michael Riley, William Byrne, Michael Finke, Sanjeev Khudanpur, Andrej Ljolje, John W. McDonough, Harriet J. Nock, Murat Saraclar, Charles Wooters, George Zavaliagkos:
Stochastic pronunciation modelling from hand-labelled phonetic corpora. Speech Commun. 29(2-4): 209-224 (1999) - [c13]John W. McDonough, William J. Byrne:
Speaker adaptation with all-pass transforms. ICASSP 1999: 757-760 - [c12]Vassilios Digalakis, Heather Collier, Sid Berkowitz, Adrian Corduneanu, Enrico Bocchieri, Ashvin Kannan, Constantinos Boulis, Sanjeev Khudanpur, William Byrne, Ananth Sankar:
Rapid speech recognizer adaptation to new speakers. ICASSP 1999: 765-768 - [c11]William Byrne, Asela Gunawardana:
Discounted likelihood linear regression for rapid adaptation. EUROSPEECH 1999: 203-206 - [c10]Vaibhava Goel, William Byrne:
Task dependent loss functions in speech recognition: a* search over recognition lattices. EUROSPEECH 1999: 1243-1246 - [c9]John W. McDonough, William Byrne:
Single-pass adapted training with all-pass transforms. EUROSPEECH 1999: 2737-2740 - [c8]William J. Byrne, Jan Hajic, Pavel Ircing, Frederick Jelinek, Sanjeev Khudanpur, Jerome McDonough, Nino Peterek, Josef Psutka:
Large Vocabulary Speech Recognition for Read and Broadcast Czech. TSD 1999: 235-240 - 1998
- [c7]William Byrne, Michael Finke, Sanjeev Khudanpur, John W. McDonough, Harriet J. Nock, Michael Riley, Murat Saraçlar, Charles Wooters, George Zavaliagkos:
Pronunciation modelling using a hand-labelled corpus for conversational speech recognition. ICASSP 1998: 313-316 - [c6]Vaibhava Goel, William Byrne, Sanjeev Khudanpur:
LVCSR rescoring with modified loss functions: a decision theoretic perspective. ICASSP 1998: 425-428 - [c5]John W. McDonough, William Byrne, Xiaoqiang Luo:
Speaker normalization with all-pass transforms. ICSLP 1998 - 1994
- [j3]Steve J. Young, Philip C. Woodland, William J. Byrne:
Spontaneous speech recognition for the credit card corpus using the HTK toolkit. IEEE Trans. Speech Audio Process. 2(4): 615-621 (1994) - 1993
- [c4]Kuansan Wang, Shihab A. Shamma, William J. Byrne:
Noise robustness in the auditory representation of speech signals. ICASSP (2) 1993: 335-338 - 1992
- [j2]William Byrne:
Alternating minimization and Boltzmann machine learning. IEEE Trans. Neural Networks 3(4): 612-620 (1992)
1980 – 1989
- 1989
- [c3]William Byrne, John Robinson, Shihab Shamma:
The Auditory Processing and Recognition of Speech. HLT (2) 1989 - 1988
- [c2]William J. Byrne:
Survivability of financial networks - a Canadian model. ICCC 1988: 99-103 - 1986
- [c1]William J. Byrne:
Financial Services Networking-Electronic Payments - A Canadian Perspective. ICCC 1986: 136-141 - 1985
- [j1]William J. Byrne, Gerard P. O'Reilly:
The 5ESS switching system: Applications planning. AT&T Tech. J. 64(6): 1315-1337 (1985)
Coauthor Index
[c153] [i47] [c149] [c148] [c147] [c144] [c143] [i43] [c138] [c137] [i36] [i34] [c124] [c115] [i21] [i20] [c114] [c111] [c110] [c109] [i13] [i12] [i11] [i10] [j33] [c108] [c104] [i6] [c102] [i4] [i1] [c100] [c97] [j30] [c95] [c93] [c92] [j28] [c85] [c81] [j23] [c77] [c75] [c74] [c69] [j22] [c66] [c64] [c63] [c62] [c61] [c60] [c58] [c57]
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