Semi-automatic word segmentation material labeling training device
A training device and semi-automatic technology, applied in natural language data processing, instruments, computing, etc., can solve the problem of organizing various language information into machines that can be read directly, so as to improve the efficiency and accuracy of labeling, and reduce manual work. Cost and complexity reduction
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[0023] See figure. In the preferred embodiment described below, a semi-automatic word segmentation corpus labeling training device includes: a text corpus labeling preparation module, a semi-automatic corpus word segmentation labeling module, a feedback model learning training module and a word segmentation labeling model effect evaluation module, which The feature is: the text corpus labeling preparation module provides preparation for labeling tasks. By distinguishing data from different sources and selecting corpus sources, the labeling corpus data is pre-labeled according to the source or topic for a single word segmentation. Data management, and then submit the raw corpus word segmentation and labeling work to the semi-automatic corpus word segmentation and labeling module through a variety of word segmentation algorithms such as bidirectional maximum matching word segmentation based on integrated dictionary, conditional random field CRF, JIEBA, bidirectional LSTM network,...
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