The assortedness of Chinese food,together with the complexity of their naming elements,has ignited numerous scholars' interests in this field and prompted them to make abundant analyses of Chinese dish names.Most ...The assortedness of Chinese food,together with the complexity of their naming elements,has ignited numerous scholars' interests in this field and prompted them to make abundant analyses of Chinese dish names.Most of them,however,were done in studies of traditional linguistics,rhetoric,translatology and cross-cultural communication.And studies,based on corpus,on the naming elements of Chinese dishes under cognitive linguistic theories almost remain a blank.This paper aims to conduct a quantitative analysis of 4,000 Chinese dish names(500 ones selected freely from each of the eight cuisines),based on the Prominence Principle,in order to identify the specific naming elements of Chinese dishes and forward related statistics and ratios.展开更多
China is a country that attaches great importance to names,honor,and prestige.The set phrase,to achieve both fame and wealth,gives the true meaning of the word fame.Chinese food culture has a long history,and forms a ...China is a country that attaches great importance to names,honor,and prestige.The set phrase,to achieve both fame and wealth,gives the true meaning of the word fame.Chinese food culture has a long history,and forms a variety of dishes,These Chinese dishes are popular with the whole world.English translation of Chinese dish can be found everywhere in China nowadays.For example:restaurants have bilingual menus;cook books are translated into English;food is discussed and recommended in English on newspaper,magazines and TV programs.Some of the English equivalents are so wordy or awkward that they read like recipes instead of names.Some are confusing and misleading.The problem is that some dish names embedded with cultural connotation are still translated literally,which makes the menus unintelligible and the target language reader lost chances to enjoy Chinese food culture.Owing to these features of the Chinese culinary culture,the names of Chinese food are kaleidoscopic and deny easy forms.展开更多
Cuisine culture occupies a pivotal position in nation’s culture especially in China.Chinese cooking has become a link between Chinese people and people from other countries and an important window for them to know Ch...Cuisine culture occupies a pivotal position in nation’s culture especially in China.Chinese cooking has become a link between Chinese people and people from other countries and an important window for them to know Chinese culture.Hence,to translate those Chinese dish names has been put outstandingly to us,not only because this is the need to promote the comity and understanding between them and us,but also the key job to spread our tradition culture to the world.This thesis attempts to have a brief study of Chinese cuisine naming and put forward some translation methods,such as transliteration,domestication,and so on.Without neglecting some related obstacles.展开更多
中医实体识别是智能医学领域一项重要的基础任务,针对通用的实体识别模型忽略了中医实体之间强关联性的问题,文章提出了一种特征融合方法。以预训练BERT(Bidirectional Encoder Representation from Transformers)模型为基础,对输入信...中医实体识别是智能医学领域一项重要的基础任务,针对通用的实体识别模型忽略了中医实体之间强关联性的问题,文章提出了一种特征融合方法。以预训练BERT(Bidirectional Encoder Representation from Transformers)模型为基础,对输入信息进行特征提取后,进一步对每个实体特征与语句特征进行融合,以获得更丰富的上下文特征,进而增强模型对中医实体的提取能力。使用临床数据开展实验证明,该方法与其他模型相比,在草药和症状实体识别任务上获得了更高的F1分数,分别为94.90%和83.92%,能更准确有效地提取医案中的实体。展开更多
文摘The assortedness of Chinese food,together with the complexity of their naming elements,has ignited numerous scholars' interests in this field and prompted them to make abundant analyses of Chinese dish names.Most of them,however,were done in studies of traditional linguistics,rhetoric,translatology and cross-cultural communication.And studies,based on corpus,on the naming elements of Chinese dishes under cognitive linguistic theories almost remain a blank.This paper aims to conduct a quantitative analysis of 4,000 Chinese dish names(500 ones selected freely from each of the eight cuisines),based on the Prominence Principle,in order to identify the specific naming elements of Chinese dishes and forward related statistics and ratios.
文摘China is a country that attaches great importance to names,honor,and prestige.The set phrase,to achieve both fame and wealth,gives the true meaning of the word fame.Chinese food culture has a long history,and forms a variety of dishes,These Chinese dishes are popular with the whole world.English translation of Chinese dish can be found everywhere in China nowadays.For example:restaurants have bilingual menus;cook books are translated into English;food is discussed and recommended in English on newspaper,magazines and TV programs.Some of the English equivalents are so wordy or awkward that they read like recipes instead of names.Some are confusing and misleading.The problem is that some dish names embedded with cultural connotation are still translated literally,which makes the menus unintelligible and the target language reader lost chances to enjoy Chinese food culture.Owing to these features of the Chinese culinary culture,the names of Chinese food are kaleidoscopic and deny easy forms.
文摘Cuisine culture occupies a pivotal position in nation’s culture especially in China.Chinese cooking has become a link between Chinese people and people from other countries and an important window for them to know Chinese culture.Hence,to translate those Chinese dish names has been put outstandingly to us,not only because this is the need to promote the comity and understanding between them and us,but also the key job to spread our tradition culture to the world.This thesis attempts to have a brief study of Chinese cuisine naming and put forward some translation methods,such as transliteration,domestication,and so on.Without neglecting some related obstacles.
文摘中医实体识别是智能医学领域一项重要的基础任务,针对通用的实体识别模型忽略了中医实体之间强关联性的问题,文章提出了一种特征融合方法。以预训练BERT(Bidirectional Encoder Representation from Transformers)模型为基础,对输入信息进行特征提取后,进一步对每个实体特征与语句特征进行融合,以获得更丰富的上下文特征,进而增强模型对中医实体的提取能力。使用临床数据开展实验证明,该方法与其他模型相比,在草药和症状实体识别任务上获得了更高的F1分数,分别为94.90%和83.92%,能更准确有效地提取医案中的实体。
