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on 9/9/2013 12:43 PM
Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-processing, which is usually called segmentation. The Stanford Word Segmenter currently supports Arabic and Chinese. The provided segmentation schemes have been found to […]