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Juan Antonio Pérez-Ortiz

2 paper cards in Mova's library · 2011–2020

Juan Antonio Pérez-Ortiz wrote 2 of the papers Mova reads, in 2011–2020, most of them on Machine translation; often with Felipe Sanchez-Martinez, Rafael C. Carrasco, Víctor M. Sánchez-Cartagena.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 2

Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

Papers

  1. Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation (2020)
    Hierarchical phrase-based translation uses one nonterminal, which the authors take to be overloaded. They give every gap of every extracted phrase pair its own nonterminal, which yields about 850,000 nonterminals on a small English-Spanish EMEA corpus (sentences up to 20 words). Two nonterminals are then merged when…
  2. Integrating shallow-transfer rules into phrase-based statistical machine translation (2011)
    A hybrid method that feeds a phrase-based statistical system with the knowledge of a shallow-transfer rule system.

Co-authors (3)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/juan-antonio-perez-ortiz/