A Data-Driven Model for Automated Chinese Word Segmentation and POS Tagging

Table 2

Word2vec word vector training parameters.

Parameter name	Meaning of parameter	Parameter value
Alpha	Initial learning rate	0.01
Size	Vector dimension	64
Mincount	Minimum word frequency	5
Window	Context window size	15
Negative	Number of negative samples	20