A case study of Bronze and Sunflower from the perspective of translation-oriented text analysis model

青铜色 透视图(图形) 翻译(生物学) 向日葵 自然语言处理 语言学 计算机科学 人工智能 历史 数学 考古 哲学 生物 组合数学 遗传学 信使核糖核酸 基因
作者
Wang Meng
出处
期刊:Nanyang Technological University - DR-NTU
摘要

Children’s literature has long been in a peripheral status in the academic world, so has its translation. In recent years, researchers have shown a greater interest in this field and paid more attention to children’s literature translation. Due to different social, political and economic factors, predominantly there has been children’s literature translated from foreign languages into Chinese. With increasing awareness of the Chinese cultural identity, exporting Chinese literary works to the world has witnessed a stable growth. \nQingtong Kuihua is a masterpiece written by Cao Wenxuan. The English version Bronze and Sunflower produced by Helen Wang has won international recognition and gained wide popularity in the western world. A wide range of factors contribute to the success of Bronze and Sunflower. This thesis utilizes the translation-oriented text analysis model of Christiane Nord to compare Qingtong Kuihua and Bronze and Sunflower through conducting a thorough evaluation on the English version. It tries to understand how extratextual factors affect Wang’s translation and what intratextual features she needs to consider in the hope of providing suggestions for future study on Chinese children’s literature translation. \nHelen Wang has duly considered the extratextual factors and successfully met the requirements of the target market and readers. Bronze and Sunflower is consistent with the original intratextual features and retains the linguistic and cultural characteristics of the Chinese language. However, due to translator subjectivity, some ways of her rendition need further discussion. Moreover, some misunderstandings have led to a certain number of inaccurate translations. Nevertheless, the said flaws have not affected the quality of Wang’s English translation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Mei完成签到,获得积分10
1秒前
赘婿应助辛勤笑旋采纳,获得10
1秒前
晚香玉发布了新的文献求助10
2秒前
kk子发布了新的文献求助10
4秒前
4秒前
kreatal完成签到,获得积分10
4秒前
CipherSage应助杨丽采纳,获得10
4秒前
4秒前
4秒前
深情惜梦发布了新的文献求助10
6秒前
6秒前
sxmt123456789发布了新的文献求助10
6秒前
7秒前
7秒前
kk子完成签到,获得积分10
7秒前
科研通AI6应助cds采纳,获得10
8秒前
8秒前
kreatal发布了新的文献求助10
8秒前
wxcool发布了新的文献求助10
8秒前
petrichor完成签到,获得积分10
9秒前
9秒前
李健应助安年采纳,获得10
10秒前
10秒前
不安青牛应助兴奋蘑菇采纳,获得10
11秒前
12秒前
辛勤笑旋发布了新的文献求助10
13秒前
哟哦发布了新的文献求助10
13秒前
单纯青槐发布了新的文献求助10
13秒前
量子星尘发布了新的文献求助10
14秒前
sxmt123456789完成签到,获得积分10
14秒前
奶桃七七发布了新的文献求助10
14秒前
15秒前
干饭完成签到,获得积分10
15秒前
15秒前
深情惜梦发布了新的文献求助10
16秒前
奶桃七七发布了新的文献求助10
17秒前
18秒前
HJJHJH发布了新的文献求助30
18秒前
18秒前
郝永岗给郝永岗的求助进行了留言
19秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5132277
求助须知:如何正确求助?哪些是违规求助? 4333736
关于积分的说明 13502006
捐赠科研通 4170755
什么是DOI,文献DOI怎么找? 2286630
邀请新用户注册赠送积分活动 1287527
关于科研通互助平台的介绍 1228447