A Comparative Study on Subtitle Translation of Animated Films From the Perspective of Reception Theory: A Case Study of Zootopia

Animated films, viewed as constant and faithful companions of children in their growth, play an important role in the development of their character, so subtitle translation of animated films accordingly draws the due attention from the translation circles. Sometimes there are more than one translated version for a single film and a comparative study is of academic significance. Reception Aesthetics Theory is mainly a literary criticism theory which changed the traditional perceptions of author-centeredness and text-centeredness, presenting reader-centered paradigm on the stage. Based on an analysis of the linguistic features of animated films and the children audience and taking Zootopia as an example, the author conducts a comparative study of the two versions of subtitle translation from the lexical, syntactic and rhetorical levels, in the hope of finding some applicable rules for subtitle translation of animated films from the perspective of Reception Aesthetics Theory and shedding some new light on future subtitle translation practice and research.

Neural Copula: A unified framework for estimating generic high-dimensional Copula functions

The Copula is widely used to describe the relationship between the marginal distribution and joint distribution of random variables. The estimation of high-dimensional Copula is difficult, and most existing solutions rely either on simplified assumptions or on complicating recursive decompositions. Therefore, people still hope to obtain a generic Copula estimation method with both universality and simplicity. To reach this goal, a novel neural network-based method (named Neural Copula) is proposed in this paper. In this method, a hierarchical unsupervised neural network is constructed to estimate the marginal distribution function and the Copula function by solving differential equations. In the training program, various constraints are imposed on both the neural network and its derivatives. The Copula estimated by the proposed method is smooth and has an analytic expression. The effectiveness of the proposed method is evaluated on both real-world datasets and complex numerical simulations. Experimental results show that Neural Copula's fitting quality for complex distributions is much better than classical methods. The relevant code for the experiments is available on GitHub. (We encourage the reader to run the program for a better understanding of the proposed method)

Rare case of magnetic Ag3+^{3+} ion: double perovskite Cs2_{2}KAgF6_{6}

Normally $4d$ or $5d$ transition metals are in a low-spin state. Here using first-principles calculations, we report on a rare case of a high-spin $S$=1 magnetic state for the Ag$^{3+}$ ion in the double perovskite Cs$_{2}$KAgF$_{6}$. We also explored a possibility of a conventional low-spin $S$=0 ground state and find an associated tetragonal distortion to be 0.29 {\AA}. However, the lattice elastic energy cost and the Hund exchange loss exceed the e$_{g}$ crystal-field energy gain, thus making the low-spin tetragonal structure less favorable than the high-spin cubic structure. We conclude that the compact perovskite structure of Cs$_{2}$KAgF$_{6}$ is an important factor in stabilizing the unusual high-spin ground state of Ag$^{3+}$.Comment: 6 pages, 6 figures, accepted for publication in PR