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Accurate prosodic phrase prediction can improve the naturalness of speech synthesis. Predicting the prosodic phrase can be regarded as a sequence labeling problem and the Conditional Random Field (CRF) is typically used to solve it. Mongolian is an agglutinative language, in which massive words can be formed by concatenating these stems and suffixes. This character makes it difficult to build a Mongolian...
Mongolian is an agglutinative language with the complex morphological structures. Building an accurate Named Entity Recognition (NER) system for Mongolian is a challenging and meaningful work. This paper analyzes the characteristic of Mongolian suffixes using Narrow Non-Break Space and investigates Mongolian NER system under three methods in the Condition Random Field framework. The experiment shows...
Mongolian is an agglutinative language. Each root can be followed by several suffixes to formulate new words. This special word formation characteristic results in probably millions of Mongolian words, which is far beyond the coverage of the pronunciation dictionary of any current Mongolian speech recognition system. Moreover, even if the pronunciation dictionary is large enough to cover all of the...
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