该文借助分析O.Henry的著名短篇小说The Last Leaf阐述叙事文本篇章隐语修辞的特征和功用。篇章隐喻修辞是一种形象思维,图式化地镶嵌或蕴涵在一定的文本结构当中,它包涵概念映射和影像映射,并遵从恒常性原则。在叙事文本中,篇章隐喻修...该文借助分析O.Henry的著名短篇小说The Last Leaf阐述叙事文本篇章隐语修辞的特征和功用。篇章隐喻修辞是一种形象思维,图式化地镶嵌或蕴涵在一定的文本结构当中,它包涵概念映射和影像映射,并遵从恒常性原则。在叙事文本中,篇章隐喻修辞及其隐喻类推帮助构建出相互衔接的句式和意义连贯的文本,可以用以激活学生的隐喻图式,帮助教师抓住篇章重点和线索,并用以进行文化讲解。展开更多
This contribution deals with a generative approach for the analysis of textual data. Instead of creating heuristic rules forthe representation of documents and word counts, we employ a distribution able to model words...This contribution deals with a generative approach for the analysis of textual data. Instead of creating heuristic rules forthe representation of documents and word counts, we employ a distribution able to model words along texts considering different topics. In this regard, following Minka proposal (2003), we implement a Dirichlet Compound Multinomial (DCM) distribution, then we propose an extension called sbDCM that takes explicitly into account the different latent topics that compound the document. We follow two alternative approaches: on one hand the topics can be unknown, thus to be estimated on the basis of the data, on the other hand topics are determined in advance on the basis of a predefined ontological schema. The two possible approaches are assessed on the basis of real data.展开更多
文摘该文借助分析O.Henry的著名短篇小说The Last Leaf阐述叙事文本篇章隐语修辞的特征和功用。篇章隐喻修辞是一种形象思维,图式化地镶嵌或蕴涵在一定的文本结构当中,它包涵概念映射和影像映射,并遵从恒常性原则。在叙事文本中,篇章隐喻修辞及其隐喻类推帮助构建出相互衔接的句式和意义连贯的文本,可以用以激活学生的隐喻图式,帮助教师抓住篇章重点和线索,并用以进行文化讲解。
文摘This contribution deals with a generative approach for the analysis of textual data. Instead of creating heuristic rules forthe representation of documents and word counts, we employ a distribution able to model words along texts considering different topics. In this regard, following Minka proposal (2003), we implement a Dirichlet Compound Multinomial (DCM) distribution, then we propose an extension called sbDCM that takes explicitly into account the different latent topics that compound the document. We follow two alternative approaches: on one hand the topics can be unknown, thus to be estimated on the basis of the data, on the other hand topics are determined in advance on the basis of a predefined ontological schema. The two possible approaches are assessed on the basis of real data.
