Browsing by Author "Lin, Ang-Hsing"

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Traditional Chinese Parser and Language Modeling for Mandadin ASR
(2013-01-01)
Lin, Ang-Hsing
;
Wang, Yih-Ru
;
Chen, Sin-Horng
;
傳播研究所
;
Institute of Communication Studies
A new approach of traditional Chinese parser to improving the language modeling of Mandarin speech recognition is proposed in this paper. The parser first uses a preprocessing to correct some word segmentation inconsistencies of the text corpus. It then employs a CRF-based word segmentation method and a CRF-based POS tagger to resegment the texts so as to generate better word strings for training an n-gram language model (LM) for ASR. Experimental results on the TCC-300 corpus showed that a word error rate (WER) of 13.4% was achieved by the proposed method. It is about 45% improvement on the relative WER reduction as compared with the previous system.