The Mathematics of Statistical Machine Translation: Parameter Estimation

Brown et al., 1993, The Mathematics of Statistical Machine Translation (Computational Linguistics)

Subscriber deck — free during early access

2 cards in “4.5 Deficiency” · whole deck

4.5 Deficiency

  1. What does it mean that a model is deficient?
    It wastes probability on objects that aren’t French strings. Models 3 and 4 place each word independently, so several words can land in one position and others stay empty (“generalized strings”). It’s the price of simplicity.
  2. Why are Models 1 and 2 “spiritually deficient”?
    They give the same probability to “Je n’ai pas de stylo” and the scrambled “Je pas ai ne de stylo” as translations of “I do not have a pen”. This hardly matters, since the models are only used to predict English given real French and need be accurate only up to a constant factor.

Source

  • Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra and Robert L. Mercer. 1993. The Mathematics of Statistical Machine Translation: Parameter Estimation. In Computational Linguistics, pp. 263–311. https://aclanthology.org/J93-2003/