8,300 research outputs found
[Dore Schary Telegram to Stanley Marcus, 1955 June 10]
No full textTelegram from Dore Schary to Stanley Marcus, informing him that Grace Kelly would not be available due to her involvement in a production of ''The Swan.'
Scripted stand-up Comedy in Translation:The Marvelous Mrs Maisel dubbed in Italian
No full textStand-up comedy is a fascinating art form that has received much scholarly attention (e.g., Mintz, 1985; Rutter, 2000; Lockyer and Mayers, 2011; Quirk, 2015; Double, 2020; Dore, 2022). Similarly, fictional stand-up has been discussed in the literature (Bhattacharjee, 2023), yet analyses exploring the intersections and possible differences between these two phenomena seem to be lacking, with a notable exception being Salamova (2016). To help fill this gap, this study focuses on fictional stand-up routines performed by Miriam “Midge” Maisel, the main character of the TV series The Marvelous Mrs. Maisel (Sherman-Palladino, 2017–2023). This show is worth examining due to the topics it develops and the manner in which it conveys them. Thus, the analysis first examines Midge’s fictional, fully scripted stand-up routines, including the language used (explicit language openly discussing taboo subjects like sex, religion, and politics) and the purposes it serves (to raise awareness and captivate the audience). More importantly, this work explores how Midge interacts with the audience and contrasts this with real, semi-scripted comedian-audience interactions, thereby highlighting similarities and significant differences between them. Subsequently, it investigates how the Italian dubbing, which has traditionally served as a platform for ideological manipulation, handles Midge’s explicit language. The dubbing team largely retained instances of swearing, and when certain instances were omitted, they were compensated for through creative additions (i.e., adding items in the target text [TT] that are not mentioned in the source text [ST], Ranzato, 2016, p. 95). This pattern aligns with current trends in Italian dubbing, indicating a greater degree of freedom in addressing sensitive topics (cf. Dore and Petrucci, 2021; Dore and De Nicola, 2023). However, this change may be because The Marvelous Mrs. Maisel, like other popular shows, is not subject to watershed regulations. Comparative analyses between shows featured on streaming platforms and traditional broadcasters may yield different and interesting results
[Dore Schary Telegram to Stanley Marcus, 1955 September 2]
No full textTelegram from Dore Schary to Stanley Marcus, informing him that Grace Kelly needed to return immediately to the set of ''The Swan'' and would not be able to make a Tuesday night dinner
Editorial: Multilingual Humour in Translation
No full textTraveling and communicating in today’s globalised world have become much faster, easier and cheaper. Consequently, the chances of having people moving from one country to another have also increased. Although it very often happens that people move from developing countries to more affluent ones, it is also true that many people within wealthy communities may decide to live in another country for study or work-related purposes (cf. Dore 2018, 2019). Consequently, many of us nowadays live in societies that can be described as melting pots, in which people from different cultures often speak two or more languages. As a result, those who are part of these multilingual communities often use code-switching and code-mixing to express and assert their bi/multi-cultural identity (Monti 2016: 69)
Humour in Audiovisual Translation. Theories and Applications
No full textThis book offers a comprehensive account of the audiovisual translation (AVT) of humour, bringing together insights from translation studies and humour studies to outline the key theories underpinning this grow- ing area of study and their applications to case studies from television and film. The volume outlines the ways in which the myriad linguistic manifestations and functions of humour make it difficult for scholars to provide a unified definition for it, an issue made more complex in the transfer of humour to audiovisual works and their translations as well as their ongoing changes in technology. Dore brings together relevant the- ories from both translation studies and humour studies towards advanc- ing research in both disciplines. Each chapter explores a key dimension of humour as it unfolds in AVT, offering brief theoretical discussions of wordplay, culture-specific references and multilingualism in revoicing and captioning in AVT as applied to case studies from Modern Family. A dedicated chapter to audio description, which allows the visually im- paired or blind to assess a film’s non-verbal content, using examples from the 2017 film the Big Sick, outlines existing research to date on this under-explored line of research and opens avenues for future study within the AVT of humour. This book is key reading for students and scholars in translation studies and humour studies
"Interaction Analysis with A Bayesian Trajectory Model"
No full textHuman behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging from the extraction of reliable and meaningful features from video streams, to the accurate definition of models able to characterize in a discriminative but, at the same time, general enough way people actions. In this work to cope with these problems a Dynamic Bayesian Network (DBN) model is proposed to recognize people interactions using their patterns of movement. Couples of observed interacting trajectories are processed by the Instantaneous Topological Map (ITM) algorithm to automatically create a topological map used to define the states of the DBN. The trajectories are encoded into the model where conditional probability densities are learned in order to statistically describe interactions. Finally, an online cumulative measure is defined to recognize interactions both in simulated and real-world environments.
In this work instead of considering the trajectories independently one from another, we focus on the analysis of motion dependencies between couple of persons to recognize interactions. This choice is motivated by the fact that often human actions are interpretable only if the context is also taken into consideration. For example, a meeting situation can be detected only by identifying that a person is still because he is talking with someone in front of him/her. A statistical representation of interactions based on Dynamic Bayesian Networks (DBNs) is proposed to encode causal relationship in a probabilistic framework and classify unknown couples of trajectories. The Instantaneous Topological Map (ITM) algorithm is used to define the state of the DBN in an online way by creating a topological map based on trajectory observations. The states of the DBN are motion events defined in the map that are used to represent interactions in terms of cause/effect relationships. The proposed model presents the following properties: 1) the trajectory representation is not dependent to the starting point; 2) it is able to represent trajectories sampled with different number of points; 3) it is robust to tracking error and local track loss; 4) it makes possible to classify interactions in an online way; 5) it is easily adaptable to a new scenario. The paper is organized as follows: in Section II an overview of previous works on trajectory modeling and
interaction recognition is provided. In Section III the bio-inspired model of interaction and its representation into a Dynamic Bayesian Networks framework are proposed with the aim to model and classify interactive trajectories. In Section IV the discrimination capabilities of the proposed representation for different types of interactive trajectories are shown and finally, in Section V conclusions are drawn
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Wright Dore Studio Employees
No full textGroup Photograph of the Wright Dore Studio Employee
Far infrared absorption of the gaseous CH4–Ar mixture
No full textWe present the first measurements of the rototranslational absorption spectrum of the CH4cm –Ar gaseous system in the far infrared region 40–600−1K at densities as low as possible; the binary absorption spectrum of the CH . Measurements were made at 296, 243, and 1954–Ar pair was then obtained. We performed a line-shape analysis of these spectra following the procedure previously introduced for pure methane. We find that the experimental data can be described at high frequencies by using ab initio values of the octopole and hexadecapole multipole moments and anisotropic overlap intensities very close to those used for pure methane. At low frequencies, the computed spectrum is significantly lower than the experimental data at any temperature. We thus include in our analysis a low-frequency spectral contribution associated with the isotropic overlap induction mechanism. Good fits of the experimental data are then obtain at each temperature over all the spectral range
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
No full textIn Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New research trends for reaching this goal are based on neurophysiological observations of human brain structure and functioning. A learning technique that is used to provide the SS with the so-called Autobiographical Memory is presented here by drawing inspiration from a bio-inspired model of the interactions occurring between the system and the user. Starting from the hypothesis that user's actions have a direct influence on the internal system state variables and vice versa, a statistical voting algorithm is proposed for inferring the cause/effect relationships among users and the system. The main contribution of this paper lies in proposing a general framework that is able to allow the SS to be aware of its present state as well as of the behavior of its users and to be able to predict the expected consequences of user actions. In this paper, these concepts are explored in order to point out the relevant role of the structural coupling between the system and the environment (i.e., interaction with the user) in the development of context-aware SSs. In fact, a model is proposed here for learning in dynamic cognitive systems , which is able to understand the cause/effect relationships
between the changes in system state and the environmental perturbations that are due to the presence of the user. The algorithm that is based on neurophysiological studies on how human
self-consciousness arises and evolves is proposed to extract contextual information from heterogeneous sensor signals and to learn and predict interactions involving users that are present in an SS. The innovative aspect of this paper is the new way of modeling the interactions between the user and the system and its engineering implication in the development of context-aware learning/predicting strategies. To do so, multiple heterogeneous data coming from a set of sensors are jointly processed with the aim of detecting internal and external contextual events. Then, a nonparametric probabilistic interaction model is learned, which can be used to predict future events to be able to design anticipative decision strategies. The proposed mechanism, applied for processing and passively learning interactions between the system and the users, introduces new functionalities and modeling capabilities which can be exploited in SS design. This paper is organized as follows. In Section II, an approach for learning interactions between SSs and users, which is inspired by neurophysiological studies, is proposed. A procedure is introduced for using these memorized data to predict changes in the system’s internal status, which are caused by user interactions, potentially allowing self-reaction and self-adaptation capabilities. In Section III, the described algorithms are extensively tested in the scenario of an SS, which is installed in a university laboratory and which monitors the internal status of its devices and the external events produced by user actions. Section IV presents the comparisons with other learning approaches for AmI applications. Finally, in Section V, we conclude by commenting on open issues and possible future improvements
Separation of two (possibly unbounded) components of the spectrum of a linear operator
No full textLet X be a complex Banach space and A: D(A)→X a densely defined closed linear operator whose resolvent set contains the real line and for which {norm of matrix}λ(λ-A)-1{norm of matrix} is bounded on R. We give a necessary and sufficient condition, in terms of the complex powers of A and -A, for the existence of a decomposition X=X+⊕X-, where X± are closed subspaces, invariant for A, the spectra of the reduced operators A± are {λ∈σ(A);Imλ>0} and {λ∈σ(A);Imλ<0} respectively, and {norm of matrix}λ(λ-A±)-1{norm of matrix} is bounded for Imλ{less-than or greater-than}0. Finally we give an example of an operator in an Lp-type space for which the decomposition exists if 1<+∞ and does not exist if p=1. © 1989 Birkhäuser Verlag
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