Uyghur vowel weakening processing system

Tuergen Yibulayin, Parida Tursun, Aishan Wumaier, Zaokere Kadeer
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引用次数: 1

Abstract

Uyghur vowel weakening has three kinds of phenomena, such as vowel dropping, inserting and neutralizing. When words added some suffixes, there always occurs some weakening take place. In Uyghur, vowel neutralizing is very common, and when we need to find the stem form of an inflected stem, it is hard to identify the neutralized vowel's original vowel without a dictionary in some cases. In Uyghur, there are eight vowels. But disregarding vowel length distinction, one identifies nine vowels in Uyghur. Actually, the neutral vowel in Uyghur represents two distinct phonemes, even though they share the same set of allophones and are orthographically alike. In this paper, we introduce our vowel weakening processing system and the Maximum Entropy (MaxEnt) based neutral vowel phoneme identification model.
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维吾尔语元音弱化处理系统
维吾尔语元音弱化有三种现象,即元音下降、插入和中和。当单词添加了一些后缀时,总会出现一些弱化现象。在维吾尔语中,元音中和是很常见的,当我们需要找到一个屈折词干的词干形式时,如果没有字典,有时很难识别中和元音的原元音。维吾尔语有八个元音。但不考虑元音长度的区别,维吾尔语中有9个元音。实际上,维吾尔语中的中性元音代表两个不同的音素,尽管它们共享同一组音素,并且在拼写上相似。本文介绍了我们的元音弱化处理系统和基于最大熵(MaxEnt)的中性元音音素识别模型。
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Message from the Oriental-COCOSDA convener Maximum Entropy combined FSM stemming method for Uyghur Multilingual number expansion for TTS Design and development of phonetically rich Urdu speech corpus Uyghur vowel weakening processing system
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