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Error-Driven Learning of Chinese Word Segmentation
( Julia Hockenmaier ),( Chris Brew ) 한국언어정보학회 1998 국제 워크샵 Vol.1998 No.-
Palmer ([4]) demonstrated how Brill``s Transformation-based Error-Driven Learning can be applied to word segmentation in various languages. We present experimental results which show that such algorithms can achieve satisfactory performance even with a a very simple initial state annotator We also present two preliminary studies, which suggest that even higher performance might be achieved if simple morphological information is available to the system, and that segmentation performance might actually be improved by combining segmentation with rudimentary part-of-speech tagging.
Design and evaluation of prosodically-sensitive concatenative units for Korean TTS
Kyuchul Yoon,Mary Beckman,Chris Brew 새한영어영문학회 2005 새한영어영문학회 학술발표회 논문집 Vol.2005 No.10
This paper describes the design and evaluation of the prosodically-sensitive concatenative units for a Korean text-to-speech (TTS) synthesis system. The diphones used are prosodically conditioned in the sense that a single conventional diphone is stored as different versions taken directly from the different prosodic domains of the prosodically labeled, read sentences. The four levels of the Korean prosodic hierarchy were observed in the diphone selection process, thereby selecting four different versions of each diphone: three edge diphones from the prosodic domains ofthe intonational phrase (IP), accentual phrase (AP) and prosodic word (PW), and a non-edge diphone from the domain of the prosodic word. Due to the size of the corpus that we employed, our system covers only 36.4% of the possible 6,503 diphones. A listening experiment designed to evaluate the quality of the diphone database showed that listeners preferred stimuli composed of prosodically appropriate diphones. We interpret this as supporting the view that segments carry prosodic domain information.