Mikel L. Forcada
Mikel L. Forcada wrote 5 of the papers Mova reads, in 2007–2016, most of them on Machine translation; often with Felipe Sánchez-Martínez, Francis M. Tyers, Gema Ramírez-Sánchez.
OpenAlex · ORCID · h-index 24 · 2373 citations · 222 works — openalex, 2026-10-18
Topics: Machine translation 5
Papers
- Apertium: a free/open source platform for machine translation and basic language technology (2016)
A one-page project description of Apertium, a free/open-source shallow-transfer rule-based MT platform started in 2005. - Flexible finite-state lexical selection for rule-based machine translation (2012)
The paper adds a lexical-selection module to the Apertium pipeline. When a dictionary offers several target words for one source word, a rule chooses one from the context. Rules are written in XML as context patterns, compiled into a finite-state transducer, and applied with a best-coverage dynamic program that… - Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora (2009)
A longer and fuller version of the 2007 method. Shallow-transfer rules are inferred from sentence-aligned corpora that are small compared with those used for statistical MT. The method is unsupervised. It uses alignment templates, extended with restrictions taken from the dictionary of the MT system so that each… - The Apertium machine translation platform: Five years on (2009)
A retrospective of Apertium after five years: how a consortium of Spanish universities and companies turned two inherited MT systems into a free engine with data for many language pairs. - Automatic induction of shallow-transfer rules for open-source machine translation (2007)
The method learns the structural transfer rules of a shallow-transfer MT system from a small parallel corpus, with no supervision.
Co-authors (3)
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/mikel-l-forcada/