Good translations play a very important role in cultural exchange.The idea of reception aesthetics think the reader as the center in translation process.This paper will study the translation of culture-loaded words fr...Good translations play a very important role in cultural exchange.The idea of reception aesthetics think the reader as the center in translation process.This paper will study the translation of culture-loaded words from the perspective of reception aesthetics.It is divided into five parts.The first part mainly introduces the background and theoretical foundation of this paper,the second part introduces the writer’s works,the third part gives examples to analyze the culture-loaded words appearing in The Golden Cangue,the fourth part gives examples of the translation methods,and the fifth part is the conclusion.It aims to provide a reference for the English translation of culture-loaded words.展开更多
安全是民航业的核心主题。针对目前民航非计划事件分析严重依赖专家经验及分析效率低下的问题,文章提出一种结合Word2vec和双向长短期记忆(bidirectional long short-term memory,BiLSTM)神经网络模型的民航非计划事件分析方法。首先采...安全是民航业的核心主题。针对目前民航非计划事件分析严重依赖专家经验及分析效率低下的问题,文章提出一种结合Word2vec和双向长短期记忆(bidirectional long short-term memory,BiLSTM)神经网络模型的民航非计划事件分析方法。首先采用Word2vec模型针对事件文本语料进行词向量训练,缩小空间向量维度;然后通过BiLSTM模型自动提取特征,获取事件文本的完整序列信息和上下文特征向量;最后采用softmax函数对民航非计划事件进行分类。实验结果表明,所提出的方法分类效果更好,能达到更优的准确率和F 1值,对不平衡数据样本同样具有较稳定的分类性能,证明了该方法在民航非计划事件分析上的适用性和有效性。展开更多
文章运用WordSmith 8.0对艾丽斯·沃克小说《紫色》中的关键词和特殊词簇进行分析,揭示了《紫色》在词汇上的整体分布特征,并指出文中所使用的词汇与句式均与主人公非裔女性这一人物形象相吻合。通过Word Smith 8.0检索发现,沃克小...文章运用WordSmith 8.0对艾丽斯·沃克小说《紫色》中的关键词和特殊词簇进行分析,揭示了《紫色》在词汇上的整体分布特征,并指出文中所使用的词汇与句式均与主人公非裔女性这一人物形象相吻合。通过Word Smith 8.0检索发现,沃克小说中的关键词和词簇搭配对于促进故事情节和人物刻画方面有重要作用。研究结果表明,语料库文体学有助于学者发现以往研究中忽视的深层文本含义,是对以往《紫色》文学定性研究结果的再次验证,是定性研究和定量研究的积极结合,也是对学界“经典重读”的积极响应。展开更多
This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using L...This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.展开更多
We use a lot of devices in our daily life to communicate with others. In this modern world, people use email, Facebook, Twitter, and many other social network sites for exchanging information. People lose their valuab...We use a lot of devices in our daily life to communicate with others. In this modern world, people use email, Facebook, Twitter, and many other social network sites for exchanging information. People lose their valuable time misspelling and retyping, and some people are not happy to type large sentences because they face unnecessary words or grammatical issues. So, for this reason, word predictive systems help to exchange textual information more quickly, easier, and comfortably for all people. These systems predict the next most probable words and give users to choose of the needed word from these suggested words. Word prediction can help the writer by predicting the next word and helping complete the sentence correctly. This research aims to forecast the most suitable next word to complete a sentence for any given context. In this research, we have worked on the Bangla language. We have presented a process that can expect the next maximum probable and proper words and suggest a complete sentence using predicted words. In this research, GRU-based RNN has been used on the N-gram dataset to develop the proposed model. We collected a large dataset using multiple sources in the Bangla language and also compared it to the other approaches that have been used such as LSTM, and Naive Bayes. But this suggested approach provides excellent exactness than others. Here, the Unigram model provides 88.22%, Bi-gram model is 99.24%, Tri-gram model is 97.69%, and 4-gram and 5-gram models provide 99.43% and 99.78% on average accurateness. We think that our proposed method profound impression on Bangla search engines.展开更多
Culture-loaded words reveal the basic features of a country’s social life,customs and habits,religious beliefs,and so on.The meanings of culture-loaded words contain the profound cultural connotation of a country or ...Culture-loaded words reveal the basic features of a country’s social life,customs and habits,religious beliefs,and so on.The meanings of culture-loaded words contain the profound cultural connotation of a country or a nation.However,due to the influence of different cultures,the original author and the target readers lack a common cognitive context,which means they cannot successfully conduct a cultural communication.Therefore,correctly understanding and translating these culture-loaded words have become a major problem for translators in the translation process of literary works.Under the guidance of the dual ostensive-inferential model in relevance-theoretical translation theory,this paper,by emphasizing the importance of common cognitive context to a successful translation,analyzes the translation process of five categories of culture-loaded words and summarizes the translation strategies that can accurately convey the writing intention of the original author,which provides a new perspective for the translation of culture-loaded words.展开更多
This paper explores the translation strategies for Chinese reduplication to English from the perspective of Skopos theory. Drawing on previous research on the semantic functions of reduplication, the paper analyzes th...This paper explores the translation strategies for Chinese reduplication to English from the perspective of Skopos theory. Drawing on previous research on the semantic functions of reduplication, the paper analyzes the three main types of semantic changes in Chinese reduplicated words: intensification of meaning, moderation of meaning, and addition of meaning. The paper then proposes different translation strategies for Chinese reduplication, including same-word repetition, near-synonym repetition, “have a try” form, “noun(pl.) + of” form, and “all”, “each”, and “every” pattern. Finally, the paper emphasizes the importance of understanding the intended communicative function of the reduplicated words and the need for flexible handling in order to achieve a natural translation with better readability.展开更多
This paper deals with the translation strategies of Chinese Culture-Loaded Words from the perspective of adaptation theory.It is based on the translation text of the sixth episode“Silk Road”and the seventh episode“...This paper deals with the translation strategies of Chinese Culture-Loaded Words from the perspective of adaptation theory.It is based on the translation text of the sixth episode“Silk Road”and the seventh episode“Dunhuang”of the documentary Hexi Corridor.Many words with Chinese cultural connotations appear in the subtitles of this documentary.This paper will be divided into four parts.The first part and the second part deal with the basic theories,i.e.,definition of Chinese Culture-Loaded Words and of adaptation theory.The original text is analysed in the third part.This part deals with the background and specifics of the language of the documentary film Hexi Corridor.The fourth part deals with the difficulties encountered by the author in translation practice and the corresponding solutions adopted by the author.The translation difficulties are solved by five translation methods,namely transliteration,loan translation,substitution,interpretation,and adaptation.展开更多
提出了一种利用"bag of words"模型对视频内容进行建模和匹配的方法。通过量化视频帧的局部特征构建视觉关键词(visual words)辞典,将视频的子镜头表示成若干视觉关键词的集合。在此基础上构建基于子镜头的视觉关键词词组的...提出了一种利用"bag of words"模型对视频内容进行建模和匹配的方法。通过量化视频帧的局部特征构建视觉关键词(visual words)辞典,将视频的子镜头表示成若干视觉关键词的集合。在此基础上构建基于子镜头的视觉关键词词组的倒排索引,用于视频片段的匹配和检索。这种方法保留了局部特征的显著性及其相对位置关系,而且有效地压缩了视频的表达,加速的视频的匹配和检索过程。实验结果表明,和已有方法相比,基于"bag of words"的视频匹配方法在大视频样本库上获得了更高的检索精度和检索速度。展开更多
文摘Good translations play a very important role in cultural exchange.The idea of reception aesthetics think the reader as the center in translation process.This paper will study the translation of culture-loaded words from the perspective of reception aesthetics.It is divided into five parts.The first part mainly introduces the background and theoretical foundation of this paper,the second part introduces the writer’s works,the third part gives examples to analyze the culture-loaded words appearing in The Golden Cangue,the fourth part gives examples of the translation methods,and the fifth part is the conclusion.It aims to provide a reference for the English translation of culture-loaded words.
文摘安全是民航业的核心主题。针对目前民航非计划事件分析严重依赖专家经验及分析效率低下的问题,文章提出一种结合Word2vec和双向长短期记忆(bidirectional long short-term memory,BiLSTM)神经网络模型的民航非计划事件分析方法。首先采用Word2vec模型针对事件文本语料进行词向量训练,缩小空间向量维度;然后通过BiLSTM模型自动提取特征,获取事件文本的完整序列信息和上下文特征向量;最后采用softmax函数对民航非计划事件进行分类。实验结果表明,所提出的方法分类效果更好,能达到更优的准确率和F 1值,对不平衡数据样本同样具有较稳定的分类性能,证明了该方法在民航非计划事件分析上的适用性和有效性。
文摘文章运用WordSmith 8.0对艾丽斯·沃克小说《紫色》中的关键词和特殊词簇进行分析,揭示了《紫色》在词汇上的整体分布特征,并指出文中所使用的词汇与句式均与主人公非裔女性这一人物形象相吻合。通过Word Smith 8.0检索发现,沃克小说中的关键词和词簇搭配对于促进故事情节和人物刻画方面有重要作用。研究结果表明,语料库文体学有助于学者发现以往研究中忽视的深层文本含义,是对以往《紫色》文学定性研究结果的再次验证,是定性研究和定量研究的积极结合,也是对学界“经典重读”的积极响应。
文摘This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.
文摘We use a lot of devices in our daily life to communicate with others. In this modern world, people use email, Facebook, Twitter, and many other social network sites for exchanging information. People lose their valuable time misspelling and retyping, and some people are not happy to type large sentences because they face unnecessary words or grammatical issues. So, for this reason, word predictive systems help to exchange textual information more quickly, easier, and comfortably for all people. These systems predict the next most probable words and give users to choose of the needed word from these suggested words. Word prediction can help the writer by predicting the next word and helping complete the sentence correctly. This research aims to forecast the most suitable next word to complete a sentence for any given context. In this research, we have worked on the Bangla language. We have presented a process that can expect the next maximum probable and proper words and suggest a complete sentence using predicted words. In this research, GRU-based RNN has been used on the N-gram dataset to develop the proposed model. We collected a large dataset using multiple sources in the Bangla language and also compared it to the other approaches that have been used such as LSTM, and Naive Bayes. But this suggested approach provides excellent exactness than others. Here, the Unigram model provides 88.22%, Bi-gram model is 99.24%, Tri-gram model is 97.69%, and 4-gram and 5-gram models provide 99.43% and 99.78% on average accurateness. We think that our proposed method profound impression on Bangla search engines.
文摘Culture-loaded words reveal the basic features of a country’s social life,customs and habits,religious beliefs,and so on.The meanings of culture-loaded words contain the profound cultural connotation of a country or a nation.However,due to the influence of different cultures,the original author and the target readers lack a common cognitive context,which means they cannot successfully conduct a cultural communication.Therefore,correctly understanding and translating these culture-loaded words have become a major problem for translators in the translation process of literary works.Under the guidance of the dual ostensive-inferential model in relevance-theoretical translation theory,this paper,by emphasizing the importance of common cognitive context to a successful translation,analyzes the translation process of five categories of culture-loaded words and summarizes the translation strategies that can accurately convey the writing intention of the original author,which provides a new perspective for the translation of culture-loaded words.
文摘This paper explores the translation strategies for Chinese reduplication to English from the perspective of Skopos theory. Drawing on previous research on the semantic functions of reduplication, the paper analyzes the three main types of semantic changes in Chinese reduplicated words: intensification of meaning, moderation of meaning, and addition of meaning. The paper then proposes different translation strategies for Chinese reduplication, including same-word repetition, near-synonym repetition, “have a try” form, “noun(pl.) + of” form, and “all”, “each”, and “every” pattern. Finally, the paper emphasizes the importance of understanding the intended communicative function of the reduplicated words and the need for flexible handling in order to achieve a natural translation with better readability.
基金Research Startup Project for Doctors at the School of Foreign Languages,University of Shanghai for Science and Technology(Fund Project No.:1F-21-305-101).
文摘This paper deals with the translation strategies of Chinese Culture-Loaded Words from the perspective of adaptation theory.It is based on the translation text of the sixth episode“Silk Road”and the seventh episode“Dunhuang”of the documentary Hexi Corridor.Many words with Chinese cultural connotations appear in the subtitles of this documentary.This paper will be divided into four parts.The first part and the second part deal with the basic theories,i.e.,definition of Chinese Culture-Loaded Words and of adaptation theory.The original text is analysed in the third part.This part deals with the background and specifics of the language of the documentary film Hexi Corridor.The fourth part deals with the difficulties encountered by the author in translation practice and the corresponding solutions adopted by the author.The translation difficulties are solved by five translation methods,namely transliteration,loan translation,substitution,interpretation,and adaptation.
文摘提出了一种利用"bag of words"模型对视频内容进行建模和匹配的方法。通过量化视频帧的局部特征构建视觉关键词(visual words)辞典,将视频的子镜头表示成若干视觉关键词的集合。在此基础上构建基于子镜头的视觉关键词词组的倒排索引,用于视频片段的匹配和检索。这种方法保留了局部特征的显著性及其相对位置关系,而且有效地压缩了视频的表达,加速的视频的匹配和检索过程。实验结果表明,和已有方法相比,基于"bag of words"的视频匹配方法在大视频样本库上获得了更高的检索精度和检索速度。
