1) Pinyin-to-character conversion
音字转换
1.
In order to overcome the difficulty in fusing more features into n-gram,a Pinyin-to-Character conversion model based on Support Vector Machines(SVM) is proposed in this paper,providing the ability of integrating more statistical information.
针对N-gram在音字转换中不易融合更多特征,本文提出了一种基于支持向量机(SVM)的音字转换模型,有效提供可以融合多种知识源的音字转换框架。
2.
It also shows that the CFS based language model has lower model perplexity and higher pinyin-to-character conversion correctness compared with the model based on previous CFS extraction method.
实验表明,基于CFS的语言模型能有效克服现有基于字和词的n元语法模型长距离相依性能较差的缺陷;同时,在模型困惑度、音字转换正确率上均优于已有基于净频次的CFS语言模型。
2) syllable-to-character conversion
音字转换
1.
This approach can evaluate syncopation of Chinese phonetic string and syllable-to-character conversion comprehensively which has been applied to popular systems using partial People s Daily in 1996.
该方法对汉字拼音输入技术的音节流自动切分和音字转换两方面进行了较全面的评估。
3) grapheme-to-phoneme conversion
字音转换
1.
Conditional mix incrementing algorithm for grapheme-to-phoneme conversion;
面向字音转换的有条件维数扩展算法
2.
Decision tree algorithm for grapheme-to-phoneme conversion;
一种面向字音转换的决策树算法
3.
Grapheme-to-Phoneme Conversion method and cost performance analysis;
字音转换策略介绍及性能代价评估
4) grapheme to phoneme conversion
字-音转换
5) sterotoner
字音转换器
6) grapheme-to-phoneme conversion
字素音素转换
1.
Automatic generation algorithm of German grapheme-to-phoneme conversion learning corpus;
德语字素音素转换学习语料库的自动生成算法
补充资料：离音声字语三昧
【离音声字语三昧】
谓菩萨住是三昧，观一切诸法，皆无音声语言，常寂灭相，是名离音声字语三昧。
谓菩萨住是三昧，观一切诸法，皆无音声语言，常寂灭相，是名离音声字语三昧。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条