نتایج جستجو برای: professional dubbing
تعداد نتایج: 111923 فیلتر نتایج به سال:
پژوهش حاضر در چارچوب مکتب دستکاری قرار گرفت و با استفاده از تقسیم بندی دوکات (2007) از شیوه های دستکاری، به دنبال یافتن پاسخ برای پرسش های زیر بود: 1-رایج ترین شیوه دستکاری در دوبله فیلم ها کدام است؟ 2-رایج ترین شیوه دستکاری در زیرنویس فیلم ها کدام است؟ 3-دستکاری در دوبله فیلم ها رایج تر است یا در زیرنویس آن ها؟ این پژوهش از نوع تحقیقات توصیفی- مقایسه ای و پیکره ای می باشد. پیکره تحقیق شا...
Audiovisual translation of humor has long been a challenge faced by translators. It is inevitable for translators to remove or reduce some the humorous effect in target language despite their endeavor preserve elements. This qualitative study aimed investigate reasons behind loss scenes from an American comedy cartoon, SpongeBob SquarePants. Sperber and Wilson (1986)’s Relevance theory Chaume (...
Given the vast scholarly attention paid to multilingualism on traditional media over years, it seems timely focus streaming platforms. This paper sets out identify potential norms for rendering of multilingual occurrences in localised content Netflix series. It also seeks explore whether translation practices related differ from consolidated and TV cinema content. The chosen data sample consist...
چکیده ندارد.
This qualitative quantitative descriptive-analytical study aimed to describe the non-obligatory shifts employed in three English Disney animated films dubbed into MSA by applying Toury’s (1995/2012) normative model and introduced course of his applied case studies. The researcher described analyzed preliminary, initial operational norms (non-obligatory shifts) on level textual segments: lexical...
Recent experiments show that seeing lip movements may improve the detection of speech sounds embedded in noise. We show here that the “speech detection” benefit may result in a “speech identification” benefit different from lipreading per se. The experimental trick consists in dubbing the same lip gesture on a number of visually similar but auditorily different configurations, e.g. [y u ty tu k...
The corpus is an invaluable resource in Spoken and Natural Language Processing. Consistent data sets have allowed for empirical evaluation of competing algorithms. The sharing of high-quality annotated linguistic data has enabled participation and experimentation by a wide range of researchers. However, despite dubbing these annotations as " gold-standard " , many corpora contain labeling error...
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