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Bill Byrne

Biographic Data

ID6442226
NAMEBill Byrne
GIVEN NAMESBill
FAMILY NAMEByrne
SIGNATUREBYRNE B
AFFILIATIONSUniversity of Cambridge
ORCID0000-0003-1896-4492
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1973
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Qualitative interviewing

    Bridget Byrne, Bill Byrne•CHAPTER•Researching Society and Culture•2025

  • The practical ethics of bias reduction in machine translation

    Open Access•Marcus Tomalin, Bill Byrne et al.•ARTICLE•Ethics and Information Technology•2021

    This article probes the practical ethical implications of AI system design by reconsidering the important topic of bias in the datasets used to train autonomous intelligent systems. The discussion draws on recent work concerning behaviour-guiding technologies, and it adopts a cautious form of technological utopianism by assuming it is potentially beneficial for society at large if AI systems are designed to be comparatively free from the biases t…

  • Pushdown Automata in Statistical Machine Translation

    Open Access•Cyril Allauzen, Bill Byrne et al.•ARTICLE•Computational Linguistics•2014

    This article describes the use of pushdown automata (PDA) in the context of statistical machine translation and alignment under a synchronous context-free grammar. We use PDAs to compactly represent the space of candidate translations generated by the grammar when applied to an input sentence. General-purpose PDA algorithms for replacement, composition, shortest path, and expansion are presented. We describe HiPDT, a hierarchical phrase-based dec…

  • Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow- n Grammars

    Open Access•Adrià de Gispert, Gonzalo Iglesias et al.•ARTICLE•Computational Linguistics•2010•References: 2

    In this article we describe HiFST, a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) operations as an alternative to the well-known cube pruning procedure. We find that the use of WFSTs rather than k-best lists requires less pruning in translation search, resulting in fewer search errors, better parameter optimization, and improved tran…

  • The elasticity of the tax system of Zambia, 1966–1977

    Open Access•WILLIAM J BYRNE, Bill Byrne•ARTICLE•World Development•1983•Cited by: 1•References: 2

  • Archaeology and Prehistory of Southern Alberta as Reflected by Ceramics

    WILLIAM J BYRNE, Bill Byrne et al.•BOOK•Archaeology and Prehistory of…•1973•Cited by: 2

  • Archaeology and Prehistory of Southern Alberta as Reflected by Ceramics

    WILLIAM J BYRNE, Bill Byrne et al.•BOOK•Archaeology and Prehistory of…•1973•Cited by: 2

  • The elasticity of the tax system of Zambia, 1966–1977

    Open Access•WILLIAM J BYRNE, Bill Byrne•ARTICLE•World Development•1983•Cited by: 1•References: 2

  • Archaeology and Prehistory of Southern Alberta as Reflected by Ceramics

    WILLIAM J BYRNE, Bill Byrne et al.•BOOK•Archaeology and Prehistory of…•1973•Cited by: 2

  • The elasticity of the tax system of Zambia, 1966–1977

    Open Access•WILLIAM J BYRNE, Bill Byrne•ARTICLE•World Development•1983•Cited by: 1•References: 2

  • Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow- n Grammars

    Open Access•Adrià de Gispert, Gonzalo Iglesias et al.•ARTICLE•Computational Linguistics•2010•References: 2

    In this article we describe HiFST, a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) operations as an alternative to the well-known cube pruning procedure. We find that the use of WFSTs rather than k-best lists requires less pruning in translation search, resulting in fewer search errors, better parameter optimization, and improved tran…

  • Pushdown Automata in Statistical Machine Translation

    Open Access•Cyril Allauzen, Bill Byrne et al.•ARTICLE•Computational Linguistics•2014

    This article describes the use of pushdown automata (PDA) in the context of statistical machine translation and alignment under a synchronous context-free grammar. We use PDAs to compactly represent the space of candidate translations generated by the grammar when applied to an input sentence. General-purpose PDA algorithms for replacement, composition, shortest path, and expansion are presented. We describe HiPDT, a hierarchical phrase-based dec…

  • The practical ethics of bias reduction in machine translation

    Open Access•Marcus Tomalin, Bill Byrne et al.•ARTICLE•Ethics and Information Technology•2021

    This article probes the practical ethical implications of AI system design by reconsidering the important topic of bias in the datasets used to train autonomous intelligent systems. The discussion draws on recent work concerning behaviour-guiding technologies, and it adopts a cautious form of technological utopianism by assuming it is potentially beneficial for society at large if AI systems are designed to be comparatively free from the biases t…

  • Qualitative interviewing

    Bridget Byrne, Bill Byrne•CHAPTER•Researching Society and Culture•2025

Artificial Intelligence (3 works) · Computer Science (3 works) · Machine translation (3 works) · Natural Language Processing Techniques (3 works) · Topic Modeling (3 works) · Algorithm (2 works) · Example-based machine translation (2 works) · Natural language processing (2 works) · Rule-based machine translation (2 works) · Synchronous context-free grammar (2 works)

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