A Study on Acquisition of Language Models Based on HMnet

Takeshi NAGANO

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A Study on Acquisition of Language Models Based on HMnet

机译：基于HMnet的语言模型获取研究

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Generally N-gram model is used for acquisition of language models. But, correlation between the words which it left can't be represented. NL-HMnet model is one of powerful technique used for acquisition of language models. Correlation between the word which it left can be represented with NL-HMnet model. But, coverage is not good. In this paper, we propose some smoothing technique for NL-HMnet.

机译：通常，N-gram模型用于语言模型的获取。但是，它剩下的单词之间的相关性无法表示。 NL-HMnet模型是用于获取语言模型的强大技术之一。剩下的单词之间的相关性可以用NL-HMnet模型表示。但是，覆盖范围不好。在本文中，我们提出了一些用于NL-HMnet的平滑技术。

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《東北大学電通谈话会記録》 |2000年第1期|p.505-506|共2页
作者
Takeshi NAGANO;
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正文语种 jpn
中图分类无线电电子学、电信技术;
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A Study on Acquisition of Language Models Based on HMnet

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