CAJ | 학술논문

手语是一门语言,手语语言学家从语言学的角度,对手语做了类似"语法"的总结而形成了音韵标注理论.针对目前中国手语无符号标记体系的现况,首先,根据中国手语的特点并结合汉语的语言习惯,文中提出了中国手语音韵标记体系.其次,针对目前音韵标注只给出一些形式化的描述或简单的手工标注的现况,文中借助基于数据手套的中国手语识别系统,提出了以手形数据模板与拉班舞谱相结合的方法,将上述的标记体系在计算机上以自动标注的方式加以实现.最后,针对数据手套的中国手语识别系统缺少先验信息的现况,应用上述音韵标记体系构建具有先验语义信息的易混词集,在构建的过程中说明并分析了音韵标记体系具备语义识别能力.实验表明,在基于统计识别的易混词集与基于先验语义信息的易混词集的识别效果相比较,在不改变统计模型的条件下,可以不同程度地辅助HMM,SOFM/HMM,Effort提高识别率.
수어시일문어언,수어어언학가종어언학적각도,대수어주료유사"어법"적총결이형성료음운표주이론.침대목전중국수어무부호표기체계적현황,수선,근거중국수어적특점병결합한어적어언습관,문중제출료중국수어음운표기체계.기차,침대목전음운표주지급출일사형식화적묘술혹간단적수공표주적현황,문중차조기우수거수투적중국수어식별계통,제출료이수형수거모판여랍반무보상결합적방법,장상술적표기체계재계산궤상이자동표주적방식가이실현.최후,침대수거수투적중국수어식별계통결소선험신식적현황,응용상술음운표기체계구건구유선험어의신식적역혼사집,재구건적과정중설명병분석료음운표기체계구비어의식별능력.실험표명,재기우통계식별적역혼사집여기우선험어의신식적역혼사집적식별효과상비교,재불개변통계모형적조건하,가이불동정도지보조HMM,SOFM/HMM,Effort제고식별솔.
Sign language is a language.Linguists summarized grammar for sign language from the view of linguistics,and the theory of phonological representation was formed.Not having a system of sign digit in Chinese sign language,this paper firstly proposes a phonological representation according to the characteristic of Chinese sign language and language habit.Secondly,a method which combined data template of hand shape and Latin spectrum is proposed according to the characteristic of recognition system of Chinese sign Ianguage which is based on data glove,and the recognition system above is realized by the computer by means of automatic label.Finally.recognition system of Chinese sign language of data glove is lack of transcendental information.thus a confused word assemble with transcendental semantic information iS established through the system of phonological representation.During the process of setting up the confused word assemble with transcendental semantic information.the semantic recognition function of the system of phonological representation is illustrated and analyzed.The confused word assemble based on statistical identification is compared with the one based on the prior sign-language semantic information.Without any change of statistic model,the experiment shows that the recognition function of phonological representation will to some extent improve the recognition rate which used the HMM,SOFM/HMM and Effort.