Generating transliteration rules for cross-language information retrieval from machine translation dictionaries

Sakai, Tetsuya; Kumano, Akira; Manabe, Toshihiko

doi:10.1109/icsmc.2002.1175601

IEEE International Conference on Systems, Man and Cybernetics

DOI: 10.1109/icsmc.2002.1175601

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Generating transliteration rules for cross-language information retrieval from machine translation dictionaries

Tetsuya Sakai

Akira Kumano

Toshihiko Manabe

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“…Sakai, Kumano, and Manabe describe a transliteration system for automatic information retrieval (Sakai, Kumano, and Manabe, 2002). Their system is designed to support both transliteration and back-transliteration of Roman scripts to Japanese Katakana.…”

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confidence: 99%

A Transliteration Engine for Asian Languages

Manoharan¹

2008

Proceedings of the Fourth International Conference on Web Information Systems and Technologies

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Transliteration maps the alphabets of one script using alphabets of another script. It is commonly used when proper nouns of one language need to be written in the script of another language. This typically involves constructing approximate phonetically equivalent words. For instance, the phonetic equivalent of New Zealand in Japanese is "niyuu jiilando" which in Katakana is ニユージーランド. This paper illustrates the design and development of a transliteration engine which suits syllabary and alphasyllabary scripts. A syllabary is an alphabet set that represent syllables. The Japanese Katakana and Hiragana scripts fall under this category. An alphasyllabary is an alphabet set that represent consonants, vowels, and syllables composed of consonants and vowels. Scripts such as Thai, Sinhala, Burmese, and most of the Indian scripts such as Devanagari, Tamil, and Malayalam come under this category. The engine is useful in teaching and learning ethnic scripts. It is a useful tool for the internationalization and localization of computer programs, publishing ethnic scripts over the Internet, and to compose electronic documents in ethnic scripts.

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confidence: 99%

A Transliteration Engine for Asian Languages

Manoharan¹

2008

Proceedings of the Fourth International Conference on Web Information Systems and Technologies

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A phoneme based model for english to malayalam transliteration

Sunitha¹,

Jaya

2015

International Confernce on Innovation Information in Computing Technologies

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BRIDJE over a language barrier

Sakai

Koyama

Suzuki

et al. 2003

Proceedings of the Sixth International Workshop on Information Retrieval With Asian Languages -

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This paper describes two new features of the BRIDJE system for cross-language information access. The first feature is the partial disambiguation function of the Bi-directional Retriever, which can be used for search request translation in cross-language IR. Its advantage over a "black-box" machine translation approach is consistent across five test collections and across two language permutations: English-Japanese and Japanese-English. The second new feature is the Information Distiller, which performs interactive summarisation of retrieved documents based on Semantic Role Analysis. Our examples illustrate the usefulness of this feature, and our evaluation results show that the precision of Semantic Role Analysis is very high.

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Generating transliteration rules for cross-language information retrieval from machine translation dictionaries

Cited by 3 publications

References 4 publications

A Transliteration Engine for Asian Languages

A Transliteration Engine for Asian Languages

A phoneme based model for english to malayalam transliteration

BRIDJE over a language barrier

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