3,840 research outputs found
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 Ag ion: double perovskite CsKAgF
Normally or transition metals are in a low-spin state. Here using
first-principles calculations, we report on a rare case of a high-spin =1
magnetic state for the Ag ion in the double perovskite
CsKAgF. We also explored a possibility of a conventional low-spin
=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 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 CsKAgF is an
important factor in stabilizing the unusual high-spin ground state of
Ag.Comment: 6 pages, 6 figures, accepted for publication in PR
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