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it's an open question whether this is worthwhile or possible on old chinese, but there are certainly existing options outside of pure single-character segmentation. spaCy offers both jieba and pkuseg for its chinese model.
we could explore retraining some general-purpose models, or work on assembling a gold corpus of segmented (and tagged?) text - again, if such a thing is possible. pkuseg's training API looks simple to use, at least.
The text was updated successfully, but these errors were encountered:
two much more attractive options for OC are UD-Kanbun for CC, which might be able to be minimally retrained for OC, and the dictionary method mentioned in this article (which also serves as a nice summary of segmentation methods).
sentence segmentation is I think even trickier, but worthwhile pursuing in any case.
it's an open question whether this is worthwhile or possible on old chinese, but there are certainly existing options outside of pure single-character segmentation. spaCy offers both jieba and pkuseg for its chinese model.
we could explore retraining some general-purpose models, or work on assembling a gold corpus of segmented (and tagged?) text - again, if such a thing is possible. pkuseg's training API looks simple to use, at least.
The text was updated successfully, but these errors were encountered: