Statistical Modelling of Highly Inflective Languages

M. Maučec, Z. Kacic
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引用次数: 8

Abstract

A language model is a description of language. Although grammar has been the prevalent tool in modelling language for a long time, interest has recently shifted towards statistical modelling. This chapter refers to speech recognition experiments, although statistical language models are applicable over a wide-range of applications: machine translation, information retrieval, etc. Statistical modelling attempts to estimate the frequency of word sequences. If a sequence of words is s = w1w2...wk, the probability can be expressed as:
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高度屈折语言的统计建模
语言模型是对语言的描述。虽然长期以来语法一直是建模语言的流行工具,但最近的兴趣转向了统计建模。虽然统计语言模型在机器翻译、信息检索等广泛的应用中都是适用的,但这一章是指语音识别实验。统计模型试图估计单词序列的频率。如果一个单词序列是s = w1w2…Wk,概率可表示为:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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