人种学家想要听到这些故事是因为他们有一个独特的理由：他们想要语言或人类学的数据，以补充他们自己的实地观察。

Ethnologists had a distinct reason for wanting to hear the stories: they were after linguistic or anthropological data that would supplement their own field observations.

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在‘深度撞击’彗星任务的数据中，我们基本上切切实实地观察到水分子在我们眼前形成，然后又消失。

In the Deep Impact data, we're essentially watching water molecules form and then dissipate right in front of our eyes.

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结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。

In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.

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