This article mainly talk about the creating using of homophones and phonograms of Chinese. The writer give us a brief introduction of homophones and phonograms from a normal view, and it mainly strengthens the particu...This article mainly talk about the creating using of homophones and phonograms of Chinese. The writer give us a brief introduction of homophones and phonograms from a normal view, and it mainly strengthens the particular features of these semantic phenomenon through illustrating some examples that come from the experiences of writer, which is different from the normal instance and it possessing a specific actual significant. While it introduces the reasons of this kind of particular semantic creation, many real particular experiences also exemplified.展开更多
How much an advertisement catches consumers' eyes determines how great his sales report is.People have witnessed homo-phones' importance in Chinese advertisements in recent years.This passage is about the anal...How much an advertisement catches consumers' eyes determines how great his sales report is.People have witnessed homo-phones' importance in Chinese advertisements in recent years.This passage is about the analysis of the relations between homophonesand humor in Chinese advertising from the perspective of Relevance Theory,Conversational Implicature,Context and Cooperative Princi-ple in pragmatics so that readers can better understand the usage of homophones in English learning.展开更多
新词识别作为自然语言处理的基础任务之一,为构建中文词典、分析词语情感倾向等提供了支持。然而,目前的新词识别方法没有考虑针对谐音新词的识别,导致谐音新词识别的准确率不高。为了解决这一问题,提出一种基于拼音相似度的中文谐音新...新词识别作为自然语言处理的基础任务之一,为构建中文词典、分析词语情感倾向等提供了支持。然而,目前的新词识别方法没有考虑针对谐音新词的识别,导致谐音新词识别的准确率不高。为了解决这一问题,提出一种基于拼音相似度的中文谐音新词发现方法,引入新旧词拼音比较来提高谐音新词识别的准确率。首先,对文本进行预处理,计算平均互信息(AMI)以判定候选词的内部结合度,并使用改进邻接熵确定候选新词的边界;然后,将保留下的词转换成发音相近的汉语拼音与中文词典中的旧词拼音进行相似度比较,并保留最相似的比较结果;最后,若比较结果超过阈值,则将结果中的新词作为谐音新词,对应的旧词即为谐音新词的原有词。在自建的微博数据集上的实验结果表明,与BNshCNs(Blended Numeric and symbolic homophony Chinese Neologisms)、依存句法与语义信息结合的相似性计算模型(DSSCNN)相比,所提方法的准确率、召回率和F1分数分别提高了0.51和5.27个百分点、2.91和6.31个百分点以及1.75和5.81个百分点。可见所提方法具有更好的中文谐音新词识别效果。展开更多
文摘This article mainly talk about the creating using of homophones and phonograms of Chinese. The writer give us a brief introduction of homophones and phonograms from a normal view, and it mainly strengthens the particular features of these semantic phenomenon through illustrating some examples that come from the experiences of writer, which is different from the normal instance and it possessing a specific actual significant. While it introduces the reasons of this kind of particular semantic creation, many real particular experiences also exemplified.
文摘How much an advertisement catches consumers' eyes determines how great his sales report is.People have witnessed homo-phones' importance in Chinese advertisements in recent years.This passage is about the analysis of the relations between homophonesand humor in Chinese advertising from the perspective of Relevance Theory,Conversational Implicature,Context and Cooperative Princi-ple in pragmatics so that readers can better understand the usage of homophones in English learning.
文摘新词识别作为自然语言处理的基础任务之一,为构建中文词典、分析词语情感倾向等提供了支持。然而,目前的新词识别方法没有考虑针对谐音新词的识别,导致谐音新词识别的准确率不高。为了解决这一问题,提出一种基于拼音相似度的中文谐音新词发现方法,引入新旧词拼音比较来提高谐音新词识别的准确率。首先,对文本进行预处理,计算平均互信息(AMI)以判定候选词的内部结合度,并使用改进邻接熵确定候选新词的边界;然后,将保留下的词转换成发音相近的汉语拼音与中文词典中的旧词拼音进行相似度比较,并保留最相似的比较结果;最后,若比较结果超过阈值,则将结果中的新词作为谐音新词,对应的旧词即为谐音新词的原有词。在自建的微博数据集上的实验结果表明,与BNshCNs(Blended Numeric and symbolic homophony Chinese Neologisms)、依存句法与语义信息结合的相似性计算模型(DSSCNN)相比,所提方法的准确率、召回率和F1分数分别提高了0.51和5.27个百分点、2.91和6.31个百分点以及1.75和5.81个百分点。可见所提方法具有更好的中文谐音新词识别效果。
