Improved Joint Kazakh POS Tagging and Chunking
نویسندگان
چکیده
This paper describes a mixing model of joint POS tagging and chunking for Kazakh where partial optimal solution provide feature information for joint model. A improved beam-search algorithm use dynamic beam instead of unified beam to obtain search space of small-but-excellent during both training and decoding phases of the model. Moreover we can statistical induction the information of chunk to dis-ambiguation of multi-category words and experiment shows the precision is improved from 81.6% to 87.7% by information of chunk.
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تاریخ انتشار 2016