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- W176804559 abstract "In the grapheme to phoneme conversion problem for Korean, two main approaches have been discussed: knowledge-based and data-driven methods. However, both camps have limitations: the knowledge-based hand-written rules cannot handle some of the pronunciation changes due to the lack of capability of linguistic analyzers and many exceptions; data-driven methods always suffer from data sparseness. To overcome the shortages of both camps, this paper presents a novel combining method which effectively integrates two components: (1) a rule-based converting system based on linguistically motivated hand-written rules and (2) a statistical converting system using a Maximum Entropy model. The experimental results clearly show the effectiveness of our proposed method." @default.
- W176804559 created "2016-06-24" @default.
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- W176804559 date "2009-09-06" @default.
- W176804559 modified "2023-09-23" @default.
- W176804559 title "Hybrid approach to grapheme to phoneme conversion for Korean" @default.
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- W176804559 doi "https://doi.org/10.21437/interspeech.2009-404" @default.
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