Preprint
Aug 2026
Scaling Unsupervised Word Alignment to Documents via Structural Constraints
CTFAlign is introduced, a lightweight, training-free approach for document-level word alignment that applies a coarse-to-fine refinement strategy that restricts the alignment search space to semantically similar regions and introduces MDPAlign, a simpler alternative that constrains alignments by position with a main diagonal prior.
Michelle Wastl, Jannis Vamvas, Rico Sennrich
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