Minhwa Chung

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The SNAP information extraction system has been developed as a part of a three-year SNAP projec t sponsored by the National Science Foundation. The main goal of the SNAP project is to build a massively parallel computer capable of fast and accurate natural language processing [5] . Throughout the project, a parallel computer was built in the Parallel(More)
This paper investigates the effects of allophones on the performance of Korean speech recognition systems. Along with a baseline phone-like unit (PLU) set consisting of phonemes, 31 allophone-based PLU sets are designed by systematically considering 5 major Korean allophonic constraints which can describe all the PLU sets currently used for Korean speech(More)
This paper describes the contents of the Korean prosody corpus (Korean MULTEXT), which is a Korean version of the speech database Eurom1. The corpus consists of about 2 hours of read speech, transcribed primarily in orthography (in Korean alphabet and in a Romanized transcription), in IPA and in SAMPA. Furthermore, it includes the original F0 values,(More)
The increasing demand for learning Korean as a foreign language yields a strong need for a CAPT system that is able to provide automatic tutoring. However, there is limited research on Korean pronunciation produced by non-natives. As a preliminary research towards developing a CAPT system for Chinese learners of Korean, we survey key findings of previous(More)
Phonetic transcriptions are often manually encoded in a pronunciation lexicon. This process is time consuming and requires linguistic expertise. Moreover, it is very difficult to maintain consistency. To handle these problems, we present a model that produces Korean pronunciation variants based on morphophonological analysis. By analyzing phonological(More)