Words change their phonetic as well as orthographic form when they are borrowed and used by speakers of another language. A formal model that properly captures this change has theoretical implications in phonology and practical applications in speech processing and machine transliteration. This paper describes a method for developing a finite- state model that predicts how English words and named entities are pronounced in Korean. The model predicts nativized pronunciation using weighted finite-state transducers implementing context-dependent phoneme rewrite rules derived from English-to-Korean pronunciation pairs and syllable phonotactics in Korean.
Hahn Koo. "A weighted finite state transducer implementation of phoneme rewrite rules for English-to-Korean pronunciation conversion" Procedia - Social and Behavioral Sciences (2011): 202-208. doi:10.1016/j.sbspro.2011.10.599
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