English

Minimum Error Rate Training and the Convex Hull Semiring

Machine Learning 2013-07-16 v1

Abstract

We describe the line search used in the minimum error rate training algorithm MERT as the "inside score" of a weighted proof forest under a semiring defined in terms of well-understood operations from computational geometry. This conception leads to a straightforward complexity analysis of the dynamic programming MERT algorithms of Macherey et al. (2008) and Kumar et al. (2009) and practical approaches to implementation.

Keywords

Cite

@article{arxiv.1307.3675,
  title  = {Minimum Error Rate Training and the Convex Hull Semiring},
  author = {Chris Dyer},
  journal= {arXiv preprint arXiv:1307.3675},
  year   = {2013}
}
R2 v1 2026-06-22T00:50:59.218Z