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- W2364362275 abstract "There are many Out-Of-Vocabulary words in Uyghur-Chinese machine translation,a large part of them are loan words(including person names,place names,et.al).This paper presents a novel method that recognition the Chinese loan words in Uyghur according to the feature that one loan word pronounce similar with its original word.This method training the existing corpus first,and getting the Uyghur Latin rules that use to recognize Chinese loan word in Uyghur;this paper Latin the Uyghur words according to the rules,Romanization of Chinese words,these transform the sounds similarity to strings similarity which is easy to quantification;proposed three models:Positionrelated Minimum Edit Distance model,Weighted Common Subsequence model and the fusion model that fused above two with parameters.The experimental results show that the fusion model considering strings' global similarity and local similarity,so it gets the best recognition results." @default.
- W2364362275 created "2016-06-24" @default.
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- W2364362275 date "2013-01-01" @default.
- W2364362275 modified "2023-09-25" @default.
- W2364362275 title "Recognition of Chinese Loan Words in Uyghur Based on String Similarity" @default.
- W2364362275 hasPublicationYear "2013" @default.
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