@inproceedings{cho-etal-2020-towards,
title = "Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-{K}orean Transliteration",
author = "Cho, Won Ik and
Kim, Seok Min and
Kim, Nam Soo",
editor = "Solorio, Thamar and
Choudhury, Monojit and
Bali, Kalika and
Sitaram, Sunayana and
Das, Amitava and
Diab, Mona",
booktitle = "Proceedings of the 4th Workshop on Computational Approaches to Code Switching",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.calcs-1.9",
pages = "65--70",
abstract = "Code-mixed grapheme-to-phoneme (G2P) conversion is a crucial issue for modern speech recognition and synthesis task, but has been seldom investigated in sentence-level in literature. In this study, we construct a system that performs precise and efficient multi-stage code-mixed G2P conversion, for a less studied agglutinative language, Korean. The proposed system undertakes a sentence-level transliteration that is effective in the accurate processing of Korean text. We formulate the underlying philosophy that supports our approach and demonstrate how it fits with the contemporary document.",
language = "English",
ISBN = "979-10-95546-66-5",
}
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<abstract>Code-mixed grapheme-to-phoneme (G2P) conversion is a crucial issue for modern speech recognition and synthesis task, but has been seldom investigated in sentence-level in literature. In this study, we construct a system that performs precise and efficient multi-stage code-mixed G2P conversion, for a less studied agglutinative language, Korean. The proposed system undertakes a sentence-level transliteration that is effective in the accurate processing of Korean text. We formulate the underlying philosophy that supports our approach and demonstrate how it fits with the contemporary document.</abstract>
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%0 Conference Proceedings
%T Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration
%A Cho, Won Ik
%A Kim, Seok Min
%A Kim, Nam Soo
%Y Solorio, Thamar
%Y Choudhury, Monojit
%Y Bali, Kalika
%Y Sitaram, Sunayana
%Y Das, Amitava
%Y Diab, Mona
%S Proceedings of the 4th Workshop on Computational Approaches to Code Switching
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-66-5
%G English
%F cho-etal-2020-towards
%X Code-mixed grapheme-to-phoneme (G2P) conversion is a crucial issue for modern speech recognition and synthesis task, but has been seldom investigated in sentence-level in literature. In this study, we construct a system that performs precise and efficient multi-stage code-mixed G2P conversion, for a less studied agglutinative language, Korean. The proposed system undertakes a sentence-level transliteration that is effective in the accurate processing of Korean text. We formulate the underlying philosophy that supports our approach and demonstrate how it fits with the contemporary document.
%U https://aclanthology.org/2020.calcs-1.9
%P 65-70
Markdown (Informal)
[Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration](https://aclanthology.org/2020.calcs-1.9) (Cho et al., CALCS 2020)
ACL