Aligning Noisy Parallel Corpora Across Language Groups : Word Pair   Feature Matching by Dynamic Time Warping
  We propose a new algorithm called DK-vec for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. DK-vec improves on previous alignment algorithms in that it handles better the non-linear nature of noisy corpora. The algorithm uses frequency, position and recency information as features for pattern matching. Dynamic Time Warping is used as the matching technique between word pairs. This algorithm produces a small bilingual lexicon which provides anchor points for alignment. 
Pascale Fung (Columbia University), Kathleen McKeown (Columbia   University)