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Aligning noisy parallel corpora across language groups: Word pair feature matching by dynamic time warping

By Pascale Fung and Kathleen Mckeown


We propose a new algorithm, DK-vec, for aligning pairs of Asian/Indo-European noisy parallel texts without sentence boundaries. 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

Year: 1994
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