نتایج جستجو برای: english movies

تعداد نتایج: 130674  

2015
Sudheera Palihakkara Dammina Sahabandu Ahsan Shamsudeen Chamika Bandara Surangika Ranathunga

This paper discusses the application of classical machine learning approaches to the task of Dialogue Act Recognition for text-based Sinhala. A study was carried out to identify a dialogue act tag set for Sinhala. A new corpus using Sinhala subtitles for English movies was created and was annotated with the selected dialogue acts. Evaluation of the dialogue act recognition system was performed ...

Introduction: Brain functional performance is a collection of outstanding mental processing that provides a framework for achieving goals based on targeted behaviors. Disorders in executive functions make it difficult for a person to perform everyday tasks. One of the phenomena highlighted in various media is the violence that adolescents welcome with the production of violent movies. This stud...

Journal: :Xinan Jiaotong Daxue Xuebao 2022

Audio-visual translation (AVT) has grown significantly as a field in the studies. AVT subfields are dubbing and subtitling. This study aims to investigate viewers’ reactions toward subtitling of English animated movie, Cars, from into Arabic. The is quantitative. An online questionnaire was administered elicit viewer’s chosen movie. showed strong evidence that works dubbed Egyptian dialect more...

2015
Nicholas Agar

In 2004 the term “designer baby” made the transition from sci-fi movies and weblogs into the Oxford English Dictionary, where it is defined as “a baby whose genetic makeup has been artificially selected by genetic engineering combined with in vitro fertilization to ensure the presence or absence of particular genes or characteristics.” This coinage was prompted by recent advances in genetics th...

2013
Christian M. Alis May T. Lim

Conversations reflect the existing norms of a language. Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years. In this work, we show that this shortening occurs even for a brief period of 3 years (September 2009-December 2012) using 229 million utterances from Twitter. Furthermore, the subset of geographicall...

ژورنال: اعتیاد پژوهی 2014
اسماعیل زاده, علی اصغر, سلطانی گردفرامرزی, مهدی,

Objectives: The aim of research was answer to this question that movie after revolution how was represented matters of addicts and addiction? Method: For answering to question 33 movies made between 1360 till 1390 which main characters were addicts, studied by content analysis. Results: The results showed that in studied movies, addicts were men, bachelor, or divorced and majority of them were ...

2011
Chi-Ho Li Shujie Liu Chenguang Wang Ming Zhou

Movies and TV shows are probably the most attractive media of language learning, and the associated subtitle is an important resource in the learning process. Despite its significance, subtitle has never been exploited effectively as it could be. In this paper we present ENGtube, which is a video service for ESL (English as Second Language) learners. The key component of this service is an inte...

This study aimed at investigating the impact of closed-caption program on listening comprehension of English movies and vocabulary learning. Sixty-four graduate students studying at Shiraz Islamic Azad University were selected as the participants of the study. The participants were divided into two groups: experimental group (with closed caption program) and control group (without closed captio...

Journal: :Journal of educational technology development and exchange 2023

Much attention has been paid to using English movies in senior high school teaching China since the release of 2017 edition Senior High School Curriculum Standards that lists Movie Appreciation as an optional compulsory course. teachers have conducted substantial research over past three years regarding practical application their teaching, yet there a lack thorough and systematic analysis larg...

Journal: :TAL 2010
Damien Poirier Françoise Fessant Isabelle Tellier

This paper is about opinion classification of posts from a social networks by supervised machine learning, in order to use them in a recommender system. We compare different pre-processings, representations and machine learning tools on real data about movies having specificities (very short texts in English, containing a lot of sms-like codes, abbreviations, misspelling...). We study in detail...

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