Research Article
The Comparative Study of Metaphorical Images Translation Strategies in Tang Poetry
Issue:
Volume 9, Issue 2, April 2024
Pages:
56-59
Received:
Feb. 19, 2024
Accepted:
Mar. 04, 2024
Published:
Mar. 20, 2024
DOI:
10.11648/j.ijecs.20240902.11
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Abstract: In Tang poetry, metaphorical images serve as powerful tools for poets to convey their emotions and experiences in a vivid and imaginative manner. These images, drawn from nature, mythology, history, and daily life, allow poets to create rich and layered meanings that resonate with readers across time and culture. The use of metaphorical images in Tang poetry reflects the deep poetic tradition and artistic sensibility of Chinese literature. Translating metaphorical images from Tang poetry into English poses a unique challenge for translators due to the cultural and linguistic differences between the two languages. However, this challenge also presents an opportunity for translators to exercise creativity and interpretation in conveying the essence of the original poems. By carefully selecting appropriate English equivalents for the metaphorical images, translators can capture the beauty and complexity of Tang poetry for English-speaking audiences. Through a comparative analysis of translation strategies employed in representative cases of Tang poetry, this paper combines case study and corpus analysis methods to explore the concept and function of metaphorical images in Tang poetry, analyzes the possibility and importance of its English translation, and provides a comparative analysis of translation strategies for metaphorical images using representative cases of Tang poetry translation. It reveals the rationality and fidelity of translating metaphorical images.
Abstract: In Tang poetry, metaphorical images serve as powerful tools for poets to convey their emotions and experiences in a vivid and imaginative manner. These images, drawn from nature, mythology, history, and daily life, allow poets to create rich and layered meanings that resonate with readers across time and culture. The use of metaphorical images in T...
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Research Article
Neural Network Based Technical Analysis of Football Games
Issue:
Volume 9, Issue 2, April 2024
Pages:
60-67
Received:
Feb. 29, 2024
Accepted:
Mar. 21, 2024
Published:
Mar. 25, 2024
DOI:
10.11648/j.ijecs.20240902.12
Downloads:
Views:
Abstract: Football is the most famous sports in the world, and English Premier League is the number one league in the world for three consecutive years (Fédération internationale de football association, FIFA). It is always interesting to apply technical analysis to understand what makes the best football player and football team. In this article, we try to answer the question "what kind of tactical play is the most advanced" through statistical analysis on the game data of English Premier League in the 21-22 season. To be more specific, firstly, we applied descriptive statistics to analyze the technical and tactical play of each team, and then screen out the technical and tactical indicators that significantly affect the outcome of the game through one-way analysis of variance (ANOVA) and discriminate analysis, and the preliminary target conclusions were obtained. BP neural network was then carried out to predict the rankings of the Premier League teams by using the indicators selected by ANOVA and discriminant analysis, as input value. BP neural network prediction model is then established to predict the ranking of each team in the 22-23 season. A general conclusion and make suggestions on the planning of the technical and tactical playing methods of our country's youth soccer sports.
Abstract: Football is the most famous sports in the world, and English Premier League is the number one league in the world for three consecutive years (Fédération internationale de football association, FIFA). It is always interesting to apply technical analysis to understand what makes the best football player and football team. In this article, we try to ...
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