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How much is enough?: Data requirements for statistical NLP

Mark Lauer
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Abstract

In this paper I explore a number of issues in the analysis of data requirements for statistical NLP systems. A preliminary framework for viewing such systems is proposed and a sample of existing works are compared within this framework. The first steps toward a theory of data requirements are made by establishing some results relevant to bounding the expected error rate of a class of simplified statistical language learners as a function of the volume of training data.

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Mark Lauer. 1995-09-07. How much is enough?: Data requirements for statistical NLP. https://arxiv.org/abs/cmp-lg/9509001

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