Juan Antonio Pérez-Ortiz
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.
Topics: Machine translation 2
Ideas Mova took (1)
- tried — A count test for lexicon merges. Merge two concepts (or two meta tokens) only when their proportions over the same contexts agree under a dissimilarity like the paper's, computed from counts. This targets open problem 2. Measure the merges kept, including… (Learning synchronous context-free grammars with multiple… · translate r6-lb: a count/lower-bound test for merges (with riding-2008 I1); kept)
Papers
- 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… - 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)
- Felipe Sanchez-Martinez ×2
- Rafael C. Carrasco
- Víctor M. Sánchez-Cartagena
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/juan-antonio-perez-ortiz/