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System and method for joint optimization of language model performance and size

机译:联合优化语言模型的性能和大小的系统和方法

摘要

A method for the joint optimization of language model performance and size is presented comprising developing a language model from a tuning set of information, segmenting at least a subset of a received textual corpus and calculating a perplexity value for each segment and refining the language model with one or more segments of the received corpus based, at least in part, on the calculated perplexity value for the one or more segments.
机译:提出了一种用于语言模型性能和大小的联合优化的方法,该方法包括从一组信息调整中开发一个语言模型,对接收到的文本语料库的至少一个子集进行分段,并为每个分段计算困惑度值,并使用至少部分地基于所计算的一个或多个片段的困惑度值,来接收所接收的语料库的一个或多个片段。

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