Hard alignment

Appears in 1 paper

In older statistical machine translation, each target word was explicitly assigned to exactly one source word.

As used in Paper 07 — Neural Machine Translation by Jointly Learning to Align and Translate →

In older statistical machine translation, each target word was explicitly assigned to exactly one source word. Brittle, requires linguistic knowledge, and breaks for long-range dependencies. Replaced by soft alignment in neural attention models.