Chinese Word Boundary Recovery through Character Alignment Projection
Researchers have developed a novel method for Chinese word boundary recovery, particularly effective for non-standard text like that produced by language learners. The approach formulates the problem as an alignment-based projection task, where character-level alignments between a noisy source sentence and a cleaner target sentence are used to project word boundaries from the target back to the source. This technique proves more robust than direct segmentation, correcting over-segmentation errors and stabilizing annotation and evaluation processes for noisy input. AI