Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
The target words were 12 high-frequency transparent words, 12 high-frequency opaque words, 12 low-frequency transparent words, 12 low-frequency opaque words and 48 pseudowords.
目标刺激为高频透明、高频不透明、低频透明、低频不透明词各12个和48个假词，被试任务为即既又准的判断目标刺激是否是一个词。
The target words were 12 high-frequency transparent words, 12 high-frequency opaque words, 12 low-frequency transparent words, 12 low-frequency opaque words and 48 pseudowords.
目标刺激为高频透明、高频不透明、低频透明、低频不透明词各12个和48个假词，被试任务为即既又准的判断目标刺激是否是一个词。
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