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Transliteration / Romanization / Grapheme / Conditional random field / Machine learning / Translit / Linguistics / Orthography / Western calligraphy


Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach Jong-Hoon Oh, Kiyotaka Uchimoto, and Kentaro Torisawa Language Infrastructure Group, MASTAR Project, National Inst
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Document Date: 2010-06-15 09:22:58

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City

Suntec / /

Company

Target / /

Country

Singapore / /

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Facility

The CJK Dictionary Institute / CJK Dictionary Institute / National Institute of Information / /

IndustryTerm

chine learning algorithms / web-enhanced lexicons / machine learning algorithms / applied machine learning algorithms / machine learning algorithm / natural language processing / online algorithms / learning algorithm / learning algorithms / /

OperatingSystem

Syllable / /

Organization

National Institute of Information and Communications Technology / MASTAR Project / CJK Dictionary Institute / /

Person

Jong-Hoon Oh / Wei Li / Kentaro Torisawa / Su Jian / Key-Sun Choi / Min Zhang / Haizhou Li / Kiyotaka Uchimoto / Vladimir Pervouchine / A. Kumaran / Fernando Pereira / Andrew McCallum / Clinton Clinton / Hitoshi Isahara / Tobias Kellner / /

Position

joint source-channel model for machine transliteration / Singer / /

Product

MIRA / /

PublishedMedium

Computational Linguistics / Journal of Machine Learning Research / Journal of Artificial Intelligence Research / /

Technology

applied machine learning algorithms / machine learning algorithms / natural language processing / artificial intelligence / Machine Translation / machine learning algorithm / 3 chine learning algorithms / Ultraconservative online algorithms / http / Machine Learning / 3.3 Margin Infused Relaxed Algorithm / three machine learning algorithms / /

URL

http /

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