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Toyo Yoshizaki 《Publishing Research Quarterly》2004,19(4):31-36
Summary Now more than ever good translations are proving to be vitally important to fulfilling Shoichi Noma’s mission of advancing
good relationships between cultures. With the emergence of dozens of world-class Japanese writers, the translators of Japanese
literature have acquired a new significance and a new importance. No longer are they required to simply handle the language
like an exotic and precious commodity but they must prepare a writer’s work to compete with literature from around the globe
and let others understand the issues at their very heart of the Japanese people.
Indeed, the selection committee’s choice of Murakami’s Wind-Up Bird Chronicle is an apt example of how literature at its very best can span cultural divides to promote mutual understanding of very complicated
and important world issues. Written for Japanese to help them understand the devastation of war, it is a rare and timely book
that confronts Japan’s experience head on. Ironically, Noma’s idea that books are silent ambassadors, an idea born from agony
and defeat, so many years later is helping the world come together towards a unified vision of peace and understanding.
“Literature has been described as a means of exchange between the hearts of people. Literary translation, then, is the building
of bridges so that all peoples of the world can interact in this way.”
Ye Weiqu, Chinese Institute of Social Studies. 相似文献
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The Cross-Language Evaluation Forum has encouraged research in text retrieval methods for numerous European languages and has developed durable test suites that allow language-specific techniques to be investigated and compared. The labor associated with crafting a retrieval system that takes advantage of sophisticated linguistic methods is daunting. We examine whether language-neutral methods can achieve accuracy comparable to language-specific methods with less concomitant software complexity. Using the CLEF 2002 test set we demonstrate empirically how overlapping character n-gram tokenization can provide retrieval accuracy that rivals the best current language-specific approaches for European languages. We show that n = 4 is a good choice for those languages, and document the increased storage and time requirements of the technique. We report on the benefits of and challenges posed by n-grams, and explain peculiarities attendant to bilingual retrieval. Our findings demonstrate clearly that accuracy using n-gram indexing rivals or exceeds accuracy using unnormalized words, for both monolingual and bilingual retrieval. 相似文献
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