A Study on the Translation of Animal Images by Mo Yan"s FROG

2021 ◽  
Vol 21 ◽  
pp. 125-149
Author(s):  
YUCHEN ZHANG
Keyword(s):  
Mo Yan ◽  
Animal Images

Funciones culturales de las notas en la traducción española de El suplicio del aroma de sándalo

Orientando ◽  
2019 ◽  
Author(s):  
Jian Hou
Keyword(s):  
Mo Yan ◽  
Imperial China

El suplicio del aroma de sándalo es una novela clave de Mo Yan, ganador del Premio Nobel de Literatura en 2012. La novela es una historia de amor y una crítica a la corrupción política durante los años finales de la Dinastía Qing −la última época imperial china−, en la que el autor inserta numerosos factores culturales de la tradición china.Blas Piñero Martínez, traductor de la versión castellana, realizó una traducción con un total de 321 notas, transmitiendo detalladamente dichos factores culturales. Este artículo, con base en las teorías de la traducción cultural de Even-Zohar, E. Gentzler y Wang Dongfeng, intenta analizar las funciones culturales de las notas en la traducción de Piñero Martínez de la novela de Mo Yan.

Using Convolutional Neural Networks to measure the contribution of visual features to the representation of object animacy in the brain

2019 ◽  
Author(s):  
Sushrut Thorat
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Temporal Cortex ◽  
Large Degree ◽  
Visual Features ◽  
Visual Feature ◽  
Visual Stream ◽  
Feature Information ◽  
Ventral Visual Stream ◽  
Animal Images

A mediolateral gradation in neural responses for images spanning animals to artificial objects is observed in the ventral temporal cortex (VTC). Which information streams drive this organisation is an ongoing debate. Recently, in Proklova et al. (2016), the visual shape and category (“animacy”) dimensions in a set of stimuli were dissociated using a behavioural measure of visual feature information. fMRI responses revealed a neural cluster (extra-visual animacy cluster - xVAC) which encoded category information unexplained by visual feature information, suggesting extra-visual contributions to the organisation in the ventral visual stream. We reassess these findings using Convolutional Neural Networks (CNNs) as models for the ventral visual stream. The visual features developed in the CNN layers can categorise the shape-matched stimuli from Proklova et al. (2016) in contrast to the behavioural measures used in the study. The category organisations in xVAC and VTC are explained to a large degree by the CNN visual feature differences, casting doubt over the suggestion that visual feature differences cannot account for the animacy organisation. To inform the debate further, we designed a set of stimuli with animal images to dissociate the animacy organisation driven by the CNN visual features from the degree of familiarity and agency (thoughtfulness and feelings). Preliminary results from a new fMRI experiment designed to understand the contribution of these non-visual features are presented.

La fiction du vivant. L’homme et l’animal chez Mo Yan

2010 ◽  
Vol 112 (3) ◽  
pp. 134-141
Author(s):  
Yinde Zhang
Keyword(s):  
Mo Yan

scholarly journals Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images

Computation ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 35
Author(s):  
Hind R. Mohammed ◽  
Zahir M. Hussain
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
High Speed ◽  
Moving Objects ◽  
Real Life ◽  
Fuzzy Rules ◽  
High Rate ◽  
Moving Images ◽  
Animal Images

Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNNs) applied to identify and distinguish various animals using different datasets consisting of about 27,307 images. The proposed system utilizes fuzzy rules to detect the image and then apply the CNN model for the object’s predicate category. The CNN model was trained and tested based on more than 21,846 pictures of animals. The experiments’ results of the proposed method offered high speed and efficiency, which could be a prominent aspect in designing image-processing systems based on Type 2 fuzzy rules characterization for identifying fixed and moving images. The proposed fuzzy method obtained an accuracy rate for identifying and recognizing moving objects of 98% and a mean square error of 0.1183464 less than other studies. It also achieved a very high rate of correctly predicting malicious objects equal to recall = 0.98121 and a precision rate of 1. The test’s accuracy was evaluated using the F1 Score, which obtained a high percentage of 0.99052.

scholarly journals Frog Metaphors in Mo Yan’s Novel 蛙 /UA55/ (Frog): A Cognitive Perspective

MANUSYA ◽  
2017 ◽  
Vol 20 (2) ◽  
pp. 122-153
Author(s):  
Yao Siqi
Keyword(s):  
The Novel ◽  
Human Beings ◽  
Mo Yan ◽  
Cognitive Approach ◽  
One Child Policy ◽  
Child Policy ◽  
Past Half Century ◽  
Metaphor Theory ◽  
George Lakoff ◽  
Chinese Author

《蛙》/ua55/ (frog) by the Nobel Prize winning Chinese author Mo Yan describes China’s changing its highly controversial one - child policy and system of forced abortions over the past half-century. Frog metaphors are omnipresent throughout the novel. The present study aims to investigate these metaphors within the framework of George Lakoff and Mark Johnson’s (1980) Conceptual Metaphor Theory (CMT) and the “GREAT CHAIN OF BEING” system of George Lakoff and Mark Turner (1989) to deepen our understanding of their nature and manifestations. Zoltán Kövecses’s (2002) “HUMAN BEINGS ARE ANIMALS” and “ANIMALS ARE HUMAN BEINGS” were also considered as cognitive metaphorical models. Moreover, the viewpoint of “phonetic metaphor” initially proposed by Ivan Fónagy (1999) was also taken into account. Results were that in Mo Yan’s work, the frog plays an essential role in the conceptualizing conventional views of certain areas in China. The analysis demonstrates how a cognitive approach offers an effective way to explore the cognitive basis of the text’s view on the complex relationship between the basic human rights and the dilemmas of living in a repressive society. This paper also hopes to make a certain contribution to comprehending frog metaphors in terms of more clearly delineated concepts and ideology reflecting China’s real society of a one-child policy and its traditional counter - policy notion.

scholarly journals Differential Visual Processing of Animal Images, with and without Conscious Awareness

2016 ◽  
Vol 10 ◽  
Author(s):  
Weina Zhu ◽  
Jan Drewes ◽  
Nicholas A. Peatfield ◽  
David Melcher
Keyword(s):  
Visual Processing ◽  
Conscious Awareness ◽  
Animal Images

scholarly journals FIGURATIVENESS OF ZOONYMS IN ENGLISH AND UZBEK LANGUAGES

2020 ◽  
Vol 4 (6) ◽  
pp. 119-126
Author(s):  
Omongul Kenjabayevna Khalibekova ◽  
Keyword(s):  
Human Factor ◽  
Cultural Characteristics ◽  
National Cultures ◽  
Cultural Methods ◽  
Methods And Techniques ◽  
Animal Images

Background. Relevance is due to a certain level of undevelopment of many issues related to the human factor in the language. The development of this problematic seems promising for identifying the national and cultural characteristics of English and Uzbek phraseological units, which allows us to increase our vocabulary and, therefore, enrich our speech.This article examines the semantic-pragmatic and connotatively evaluative relations of phraseological units based on animal images in English and Uzbek languages. Zoonyms imply textual roles within a specific discourse and difference in values, stereotypes and behaviour patterns in national cultures. Methods. Studying nominations of a human with a zoonym component we used descriptive and analytical, comparative, linguistic and cultural methods and techniques. We used the contrastive method to identify phraseological units based on animal images in English and Uzbek languages

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