目的绘制＂男女声录制普通话言语测听材料＂中单音节和双音节词表以及短句表的言语识别率-强度函数（Performance-intensity function,P-I）曲线,获得正常人P-I函数曲线的言语识别阈和斜率两个参数,并加以分析比较。方法选择耳科正常人2...目的绘制＂男女声录制普通话言语测听材料＂中单音节和双音节词表以及短句表的言语识别率-强度函数（Performance-intensity function,P-I）曲线,获得正常人P-I函数曲线的言语识别阈和斜率两个参数,并加以分析比较。方法选择耳科正常人20名,采用江苏省人民医院耳鼻咽喉科编写的＂男女声录制普通话言语测听词表＂,包括单音节词表6张、双音节词表8张及短句表5张,先分别获得其20%~80%的言语识别率范围所需的6个强度点,计算出各词表在各个强度下的识别率、言语识别阈、20%~80%的斜率和50%的斜率,采用Logistic回归函数进行分析,绘制其P-I曲线。结果（1）单音节词表：20%~80%言语识别率范围所需强度为21、25、25、30、35、40d B（SPL）,线性范围斜率为（3.5±0.1）%/d B,平均言语识别阈为28.5±0.5 d B SPL;（2）双音节词表：20%~80%言语识别率范围所需强度为20、22、24、26、28、30 d B（SPL）,线性范围斜率为（6.3±0.5）%/d B,平均言语识别阈为24.4±0.5 d B SPL;（3）句表：20%~80%言语识别率范围所需强度为22、24、26、28、30、32d B（SPL）,线性范围斜率为（7.2±0.4）%/d B,平均言语识别阈26.3±0.7 d B SPL。结论（1）三类词表正常人P-I曲线均呈侧向拉伸的S型,其言语识别率随着言语刺激信号强度的增加而增加,并在言语刺激信号强度上升一定程度后趋于稳定,从而达到最大言语识别率。（2）句表的20%-80%线性范围斜率最大,其P-I函数曲线走形最陡峭。展开更多
For an extract description of threads information in question and answer （QnA） web forums, it is proposed to construct a QnA knowledge presentation model in the English language, and then an entire solution for the ...For an extract description of threads information in question and answer （QnA） web forums, it is proposed to construct a QnA knowledge presentation model in the English language, and then an entire solution for the QnA knowledge system is presented, including data gathering, platform building and applications design. With pre-defined dictionary and grammatical analysis, the model draws semantic information, grammatical information and knowledge confidence into IR methods, in the form of statement sets and term sets with semantic links. Theoretical analysis shows that the statement model can provide an exact presentation for QnA knowledge, breaking through any limits from original QnA patterns and being adaptable to various query demands; the semantic links between terms can assist the statement model, in terms of deducing new from existing knowledge. The model makes use of both information retrieval （IR） and natural language processing （NLP） features, strengthening the knowledge presentation ability. Many knowledge-based applications built upon this model can be improved, providing better performance.展开更多
Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks i...Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks involved are emotion sentence identification and classification,emotion tendency classification,and emotion expression extraction. Combining with the latent Dirichlet allocation(LDA) model,a Gibbs sampling implementation for inference of our algorithm is presented,and can be used to categorize emotion tendency automatically with the computer. In accordance with the lower ratio of recall for emotion expression extraction in Weibo,use dependency parsing,divided into two categories with subject and object,summarized six kinds of dependency models from evaluating objects and emotion words,and proposed that a merge algorithm for evaluating objects can be accurately evaluated by participating in a public bakeoff and in the shared tasks among the best methods in the sub-task of emotion expression extraction,indicating the value of our method as not only innovative but practical.展开更多
Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered ＂concrete＂, ＂man-centered＂, and ＂ordinal＂; whil...Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered ＂concrete＂, ＂man-centered＂, and ＂ordinal＂; while the western one is believed to be ＂abstract＂, ＂object-centered＂, and ＂conversed＂. These are the decisive factors for the existence of the differences in language expressing. It is of great importance to study these differences and make some adjustments in terms of syntactic structure, semantic focus, and time order so as to achieve a natural rending.展开更多
文摘目的绘制＂男女声录制普通话言语测听材料＂中单音节和双音节词表以及短句表的言语识别率-强度函数（Performance-intensity function,P-I）曲线,获得正常人P-I函数曲线的言语识别阈和斜率两个参数,并加以分析比较。方法选择耳科正常人20名,采用江苏省人民医院耳鼻咽喉科编写的＂男女声录制普通话言语测听词表＂,包括单音节词表6张、双音节词表8张及短句表5张,先分别获得其20%~80%的言语识别率范围所需的6个强度点,计算出各词表在各个强度下的识别率、言语识别阈、20%~80%的斜率和50%的斜率,采用Logistic回归函数进行分析,绘制其P-I曲线。结果（1）单音节词表：20%~80%言语识别率范围所需强度为21、25、25、30、35、40d B（SPL）,线性范围斜率为（3.5±0.1）%/d B,平均言语识别阈为28.5±0.5 d B SPL;（2）双音节词表：20%~80%言语识别率范围所需强度为20、22、24、26、28、30 d B（SPL）,线性范围斜率为（6.3±0.5）%/d B,平均言语识别阈为24.4±0.5 d B SPL;（3）句表：20%~80%言语识别率范围所需强度为22、24、26、28、30、32d B（SPL）,线性范围斜率为（7.2±0.4）%/d B,平均言语识别阈26.3±0.7 d B SPL。结论（1）三类词表正常人P-I曲线均呈侧向拉伸的S型,其言语识别率随着言语刺激信号强度的增加而增加,并在言语刺激信号强度上升一定程度后趋于稳定,从而达到最大言语识别率。（2）句表的20%-80%线性范围斜率最大,其P-I函数曲线走形最陡峭。
基金Microsoft Research Asia Internet Services in Aca-demic Research Fund (NoFY07-RES-OPP-116)Tianjin Technological Development Program Project (No06YFGZGX05900)
文摘For an extract description of threads information in question and answer （QnA） web forums, it is proposed to construct a QnA knowledge presentation model in the English language, and then an entire solution for the QnA knowledge system is presented, including data gathering, platform building and applications design. With pre-defined dictionary and grammatical analysis, the model draws semantic information, grammatical information and knowledge confidence into IR methods, in the form of statement sets and term sets with semantic links. Theoretical analysis shows that the statement model can provide an exact presentation for QnA knowledge, breaking through any limits from original QnA patterns and being adaptable to various query demands; the semantic links between terms can assist the statement model, in terms of deducing new from existing knowledge. The model makes use of both information retrieval （IR） and natural language processing （NLP） features, strengthening the knowledge presentation ability. Many knowledge-based applications built upon this model can be improved, providing better performance.
基金supported by National Key Basic Research Program of China (No.2014CB340600)partially supported by National Natural Science Foundation of China (Grant Nos.61332019,61672531)partially supported by National Social Science Foundation of China (Grant No.14GJ003-152)
文摘Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks involved are emotion sentence identification and classification,emotion tendency classification,and emotion expression extraction. Combining with the latent Dirichlet allocation(LDA) model,a Gibbs sampling implementation for inference of our algorithm is presented,and can be used to categorize emotion tendency automatically with the computer. In accordance with the lower ratio of recall for emotion expression extraction in Weibo,use dependency parsing,divided into two categories with subject and object,summarized six kinds of dependency models from evaluating objects and emotion words,and proposed that a merge algorithm for evaluating objects can be accurately evaluated by participating in a public bakeoff and in the shared tasks among the best methods in the sub-task of emotion expression extraction,indicating the value of our method as not only innovative but practical.
文摘Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered ＂concrete＂, ＂man-centered＂, and ＂ordinal＂; while the western one is believed to be ＂abstract＂, ＂object-centered＂, and ＂conversed＂. These are the decisive factors for the existence of the differences in language expressing. It is of great importance to study these differences and make some adjustments in terms of syntactic structure, semantic focus, and time order so as to achieve a natural rending.
