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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.


This article was published in Procedia - Social and Behavioral Sciences, volume 27, 2011 and is also available at this link. © 2011 Published by Elsevier Ltd. Open access under CC BY-NC-ND license. Selection and/or peer-review under responsibility of PACLING 2011 Organizing Committee.

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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.