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- W2351550147 abstract "While the Out-of-Vocabulary(OOV) problem remains a challenge for English spoken term detection tasks,it is underestimated for Chinese.This is because a Chinese OOV query term can still be matched as a sequence of Chinese characters,with each character itself being a word in the vocabulary.However,our experiments show that search accuracy levels differ significantly when a query is or is not in the vocabulary.We examine this problem with a word-lattice-based spoken term detection task.We propose a two-stage method by first locating candidates by partial phonetic matching and then refining the matching score with word lattice rescoring.Experiments show that the proposed method achieves a 24.1% relative improvement for OOV queries on a large-scale Chinese spoken term detection task." @default.
- W2351550147 created "2016-06-24" @default.
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- W2351550147 date "2009-01-01" @default.
- W2351550147 modified "2023-09-28" @default.
- W2351550147 title "Out-of-Vocabulary Issue in Chinese Spoken Term Detection and A Two-Stage Chinese Speech Retrieval Method" @default.
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