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Gonzalo Iglesias

Biographic Data

ID6536629
NAMEGonzalo Iglesias
GIVEN NAMESGonzalo
FAMILY NAMEIglesias
SIGNATUREIGLESIAS G
AFFILIATIONSUniversity of Cambridge
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2014
H-INDEX0
  • 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…

No prominent works on this page.

  • 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…

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

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae