As a biopic focusing on the people’s writer Liu Qing,the movie Liu Qing shows the creative process of Liu Qing’s rooting in the countryside and sharing the fate of peasants through the fusion of realist aesthetics a...As a biopic focusing on the people’s writer Liu Qing,the movie Liu Qing shows the creative process of Liu Qing’s rooting in the countryside and sharing the fate of peasants through the fusion of realist aesthetics and poetic expression.Contemporary writer’s biography movie is almost blank in the domestic movie history due to its special subject matter.The creation of Liu Qing required balancing the tension between historical truth,artistic aesthetics,and policy scrutiny.By deconstructing the multiple identities of the writer,reconstructing the logic of vernacular narrative,and exploring the innovation of melodramatic genre,the director has created the image of a people’s writer rooted in the earth.Combining the perspective of director Tian Bo,this article discusses how to construct a writer’s image on the screen with both depth of thought and humanistic temperature,and reveals the revelation of Liu Qing’s spirit to contemporary literary creation.展开更多
Automated and accurate movie genre classification is crucial for content organization,recommendation systems,and audience targeting in the film industry.Although most existing approaches focus on audiovisual features ...Automated and accurate movie genre classification is crucial for content organization,recommendation systems,and audience targeting in the film industry.Although most existing approaches focus on audiovisual features such as trailers and posters,the text-based classification remains underexplored despite its accessibility and semantic richness.This paper introduces the Genre Attention Model(GAM),a deep learning architecture that integrates transformer models with a hierarchical attention mechanism to extract and leverage contextual information from movie plots formulti-label genre classification.In order to assess its effectiveness,we assessmultiple transformer-based models,including Bidirectional Encoder Representations fromTransformers(BERT),ALite BERT(ALBERT),Distilled BERT(DistilBERT),Robustly Optimized BERT Pretraining Approach(RoBERTa),Efficiently Learning an Encoder that Classifies Token Replacements Accurately(ELECTRA),eXtreme Learning Network(XLNet)and Decodingenhanced BERT with Disentangled Attention(DeBERTa).Experimental results demonstrate the superior performance of DeBERTa-based GAM,which employs a two-tier hierarchical attention mechanism:word-level attention highlights key terms,while sentence-level attention captures critical narrative segments,ensuring a refined and interpretable representation of movie plots.Evaluated on three benchmark datasets Trailers12K,Large Movie Trailer Dataset-9(LMTD-9),and MovieLens37K.GAM achieves micro-average precision scores of 83.63%,83.32%,and 83.34%,respectively,surpassing state-of-the-artmodels.Additionally,GAMis computationally efficient,requiring just 6.10Giga Floating Point Operations Per Second(GFLOPS),making it a scalable and cost-effective solution.These results highlight the growing potential of text-based deep learning models in genre classification and GAM’s effectiveness in improving predictive accuracy while maintaining computational efficiency.With its robust performance,GAM offers a versatile and scalable framework for content recommendation,film indexing,and media analytics,providing an interpretable alternative to traditional audiovisual-based classification techniques.展开更多
“As a director,I hope that the audience will see a movie in cinemas instead of watching threeminute commentaries,about which I’m really speechless,”internationally renowned film director Zhang Yimou said in a recen...“As a director,I hope that the audience will see a movie in cinemas instead of watching threeminute commentaries,about which I’m really speechless,”internationally renowned film director Zhang Yimou said in a recent interview.Zhang said he believes the ritual and immersive feeling brought about by watching movies in the cinema cannot be replaced by watching movie commentaries online.He called on audiences to go to the cinema and experience in person the audio-visual feast delivered by the big screen.Zhang’s views on the so-called“threeminute movies”have become a trending topic on social media.The new genre,in which content creators on short-video platforms create summarized versions of films,also includes the creator’s own observations.The rise of these platforms has lowered barriers to entry for aspiring movie content creators,giving rise to not only high volume and great diversity but also large discrepancies in quality.Moreover,this content sometimes infringes the copyrights of the movies it features,while also misinterpreting their plots and themes.展开更多
The film market during the Spring Festival in the year of the snake can be described as “YOLO”(which means hot),with six films are released simultaneously, including Ne Zha 2, Detective Chinatown 1900, Boonie Bears:...The film market during the Spring Festival in the year of the snake can be described as “YOLO”(which means hot),with six films are released simultaneously, including Ne Zha 2, Detective Chinatown 1900, Boonie Bears:Future Reborn,Operation Hadal, Creation of the Gods II:Demon Force (hereinafter referred to as Creation of the Gods II) and Legends of The Condor Heroes:The Gallants.These movies show a variety of national and patriotic feelings and traditional culture. Among them, Ne Zha 2 has been constantly breaking record since the box office exceeded RMB 14 billion.展开更多
Movies reviews provide valuable insights that can help people decide which movies are worth watching and avoid wasting their time on movies they will not enjoy.Movie reviews may contain spoilers or reveal significant ...Movies reviews provide valuable insights that can help people decide which movies are worth watching and avoid wasting their time on movies they will not enjoy.Movie reviews may contain spoilers or reveal significant plot details,which can reduce the enjoyment of the movie for those who have not watched it yet.Additionally,the abundance of reviews may make it difficult for people to read them all at once,classifying all of the movie reviews will help in making this decision without wasting time reading them all.Opinion mining,also called sentiment analysis,is the process of identifying and extracting subjective information from textual data.This study introduces a sentiment analysis approach using advanced deep learning models:Extra-Long Neural Network(XLNet),Long Short-Term Memory(LSTM),and Convolutional Neural Network-Long Short-Term Memory(CNN-LSTM).XLNet understands the context of a word from both sides,which is helpful for capturing complex language patterns.LSTM performs better in modeling long-term dependencies,while CNN-LSTM combines local and global context for robust feature extraction.Deep learning models take advantage of their ability to extract complex linguistic patterns and contextual information from raw text data.We carefully cleaned the IMDb movie reviews dataset with the goal of optimizing the results of models used in the experiment.This involves eliminating unnecessary punctuation,links,hashtags,stop words,and duplicate reviews.Lemmatization is also used for keeping consistent word forms.This cleaned IMDb dataset is evaluated on the proposed model for sentiment analysis in which XLNet performs well achieving an impressive 93.74%accuracy on the IMDb Dataset.The findings highlight the effectiveness of deep learning models in improving sentiment analysis,showing its potential for wider applications in natural language processing.展开更多
"Carbon neutrality movies"are movies that focus on carbon neutrality as the object of expression and dissemination.Using carbon neutrality as an element,it influences the development of the plot,reflects env..."Carbon neutrality movies"are movies that focus on carbon neutrality as the object of expression and dissemination.Using carbon neutrality as an element,it influences the development of the plot,reflects environmental changes,and focuses on climate change caused by carbon emissions.At the same time,it focuses on offsetting carbon emissions through carbon neutrality behavior,showcasing the impact of carbon neutrality.From the perspective of ecological movies,the evolution of carbon neutrality movies at three stages can be explored.The first stage is high-carbon movies that reflect the high conflict between humans and the natural environment.The second stage is low-carbon movies,reflecting humanity's pursuit of a harmonious coexistence between humans and nature,thus adopting green and low-carbon behaviors.The third stage is carbon neutrality movies,which awaken or guide the public to pay attention to carbon emissions,promote low-carbon living,guide life practice in a carbon neutrality way,and create a better life.There are three characteristics of"carbon neutrality movies",including scientific reflection on global warming,advocating energy conservation and emission reduction in daily life,and promoting clean energy in policies.展开更多
Clothing is one of the important factors to perfect present the movie for the audiences; it represents the film actor＇ s ＂second language.＂ A good audience＇ s favorite films in a wonderful show give the audience s...Clothing is one of the important factors to perfect present the movie for the audiences; it represents the film actor＇ s ＂second language.＂ A good audience＇ s favorite films in a wonderful show give the audience story, but also the beauty film＇ s art manifested clothing, it gives the audience a visual double enjoyment. In recent years, more and more sci-fi drama movies are loved by the people and recognized by the box office, many science fiction movies in the summer file or Lunar New Year stalls have become a box-office champion. In addition to this success, it is the use of high-tech movie, naturally inseparable from the influx of conceptual clothing. Science fiction movie is about the future vision of the world and longing, through the idea that the concept is applied to the fihn, the final screenplay conceives a screenwriter and shoot. Thus, science fiction nmvies emphasize that the ＂future＂ concept theme, movie costumes are also combined with the need to choose the theme and design, it is clear conceptual costume for sci-fi movie and it is most appropriate. The use of conceptual clothing itself, avant-garde ＂, ＂personality＂ has a sense of future space features, you can add heavy feeling for the future concept of the film, while also provide some support for the fihn to create a science fiction theme.展开更多
The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this da...The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.展开更多
English movies are the cultural carriers of English-speaking countries with veritable colloquial expressions, authentic environment and abundant cultural connotation. Teaching English through English movies can not on...English movies are the cultural carriers of English-speaking countries with veritable colloquial expressions, authentic environment and abundant cultural connotation. Teaching English through English movies can not only help students learn English language, but also acquire English culture. It's also an effective way to improve students' oral English and their accultural communication ability.展开更多
The translation of titles is the important part in the translation of movies. This paper proposes three principles and summarizes six translation methods in the translation of movie titles.
随着数字化设备的涌现，大家总希望把自己的一系列活动记录下来，随之DV走进了寻常百姓家。一方面我们在为自己的拍摄而兴奋着，另一方面却为自己的一大堆录像带而发愁着。因为说起制作影像资料，大家可能还比较陌生，觉得似乎十分高深...随着数字化设备的涌现，大家总希望把自己的一系列活动记录下来，随之DV走进了寻常百姓家。一方面我们在为自己的拍摄而兴奋着，另一方面却为自己的一大堆录像带而发愁着。因为说起制作影像资料，大家可能还比较陌生，觉得似乎十分高深莫测，想自己制作却不知道如何下手。下面就如何利用Windows Movie Maker这一软件制作影像材料进行必要的说明。展开更多
Taking American Disney Movie Mulan as an object of research, this paper intends to compare Chinese and American cultural differences from three aspects, filial piety vs. individualism, family priority vs. the pursuit ...Taking American Disney Movie Mulan as an object of research, this paper intends to compare Chinese and American cultural differences from three aspects, filial piety vs. individualism, family priority vs. the pursuit of success and gender discrimination vs. feminism.展开更多
On the basis of introducing the theory of foreignization,this paper aims to discuss the translation of movie titles with the application of it and a conclusion is drawn that foreignization can retain the characteristi...On the basis of introducing the theory of foreignization,this paper aims to discuss the translation of movie titles with the application of it and a conclusion is drawn that foreignization can retain the characteristics of the original movie titles to keep a distance between the source language culture and target language culture.展开更多
There is a great discovery that most respondents prefer to use movies to assist their learning of English novels and they are more competent in the course according to a survey. Through watching movies, learners could...There is a great discovery that most respondents prefer to use movies to assist their learning of English novels and they are more competent in the course according to a survey. Through watching movies, learners could better understand and appreciate the basic elements of a novel including plot, character, setting, narrative point of view, theme and style. Thus this approach is recommended to teachers and learners of British and American novels.展开更多
Analyzes the conflicting cases through which the movie develops its plot inspiring an inter-cultural thinking and argumentation from perspectives of attitudes towards law and its social factors, and the family values ...Analyzes the conflicting cases through which the movie develops its plot inspiring an inter-cultural thinking and argumentation from perspectives of attitudes towards law and its social factors, and the family values impacting the conflicts. The author proves the truth of the above two to be the primary causes with thorough analysis of the story details appealing to abundant consentaneous understandings and theories.展开更多
English movies have authentic oral expression, authentic language environment and rich cultural connotations. Appreciating English movies can not only make one learn the language knowledge, but also have access to cul...English movies have authentic oral expression, authentic language environment and rich cultural connotations. Appreciating English movies can not only make one learn the language knowledge, but also have access to cultural knowledge. Language is the carrier of culture. Learning a language is a process of access to culture. English movies can effectively develop the students'English oral communicative competence and thus making teachers achieve the ultimate goal of English teaching.展开更多
This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students...This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.展开更多
文摘As a biopic focusing on the people’s writer Liu Qing,the movie Liu Qing shows the creative process of Liu Qing’s rooting in the countryside and sharing the fate of peasants through the fusion of realist aesthetics and poetic expression.Contemporary writer’s biography movie is almost blank in the domestic movie history due to its special subject matter.The creation of Liu Qing required balancing the tension between historical truth,artistic aesthetics,and policy scrutiny.By deconstructing the multiple identities of the writer,reconstructing the logic of vernacular narrative,and exploring the innovation of melodramatic genre,the director has created the image of a people’s writer rooted in the earth.Combining the perspective of director Tian Bo,this article discusses how to construct a writer’s image on the screen with both depth of thought and humanistic temperature,and reveals the revelation of Liu Qing’s spirit to contemporary literary creation.
基金would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025).
文摘Automated and accurate movie genre classification is crucial for content organization,recommendation systems,and audience targeting in the film industry.Although most existing approaches focus on audiovisual features such as trailers and posters,the text-based classification remains underexplored despite its accessibility and semantic richness.This paper introduces the Genre Attention Model(GAM),a deep learning architecture that integrates transformer models with a hierarchical attention mechanism to extract and leverage contextual information from movie plots formulti-label genre classification.In order to assess its effectiveness,we assessmultiple transformer-based models,including Bidirectional Encoder Representations fromTransformers(BERT),ALite BERT(ALBERT),Distilled BERT(DistilBERT),Robustly Optimized BERT Pretraining Approach(RoBERTa),Efficiently Learning an Encoder that Classifies Token Replacements Accurately(ELECTRA),eXtreme Learning Network(XLNet)and Decodingenhanced BERT with Disentangled Attention(DeBERTa).Experimental results demonstrate the superior performance of DeBERTa-based GAM,which employs a two-tier hierarchical attention mechanism:word-level attention highlights key terms,while sentence-level attention captures critical narrative segments,ensuring a refined and interpretable representation of movie plots.Evaluated on three benchmark datasets Trailers12K,Large Movie Trailer Dataset-9(LMTD-9),and MovieLens37K.GAM achieves micro-average precision scores of 83.63%,83.32%,and 83.34%,respectively,surpassing state-of-the-artmodels.Additionally,GAMis computationally efficient,requiring just 6.10Giga Floating Point Operations Per Second(GFLOPS),making it a scalable and cost-effective solution.These results highlight the growing potential of text-based deep learning models in genre classification and GAM’s effectiveness in improving predictive accuracy while maintaining computational efficiency.With its robust performance,GAM offers a versatile and scalable framework for content recommendation,film indexing,and media analytics,providing an interpretable alternative to traditional audiovisual-based classification techniques.
文摘“As a director,I hope that the audience will see a movie in cinemas instead of watching threeminute commentaries,about which I’m really speechless,”internationally renowned film director Zhang Yimou said in a recent interview.Zhang said he believes the ritual and immersive feeling brought about by watching movies in the cinema cannot be replaced by watching movie commentaries online.He called on audiences to go to the cinema and experience in person the audio-visual feast delivered by the big screen.Zhang’s views on the so-called“threeminute movies”have become a trending topic on social media.The new genre,in which content creators on short-video platforms create summarized versions of films,also includes the creator’s own observations.The rise of these platforms has lowered barriers to entry for aspiring movie content creators,giving rise to not only high volume and great diversity but also large discrepancies in quality.Moreover,this content sometimes infringes the copyrights of the movies it features,while also misinterpreting their plots and themes.
文摘The film market during the Spring Festival in the year of the snake can be described as “YOLO”(which means hot),with six films are released simultaneously, including Ne Zha 2, Detective Chinatown 1900, Boonie Bears:Future Reborn,Operation Hadal, Creation of the Gods II:Demon Force (hereinafter referred to as Creation of the Gods II) and Legends of The Condor Heroes:The Gallants.These movies show a variety of national and patriotic feelings and traditional culture. Among them, Ne Zha 2 has been constantly breaking record since the box office exceeded RMB 14 billion.
文摘Movies reviews provide valuable insights that can help people decide which movies are worth watching and avoid wasting their time on movies they will not enjoy.Movie reviews may contain spoilers or reveal significant plot details,which can reduce the enjoyment of the movie for those who have not watched it yet.Additionally,the abundance of reviews may make it difficult for people to read them all at once,classifying all of the movie reviews will help in making this decision without wasting time reading them all.Opinion mining,also called sentiment analysis,is the process of identifying and extracting subjective information from textual data.This study introduces a sentiment analysis approach using advanced deep learning models:Extra-Long Neural Network(XLNet),Long Short-Term Memory(LSTM),and Convolutional Neural Network-Long Short-Term Memory(CNN-LSTM).XLNet understands the context of a word from both sides,which is helpful for capturing complex language patterns.LSTM performs better in modeling long-term dependencies,while CNN-LSTM combines local and global context for robust feature extraction.Deep learning models take advantage of their ability to extract complex linguistic patterns and contextual information from raw text data.We carefully cleaned the IMDb movie reviews dataset with the goal of optimizing the results of models used in the experiment.This involves eliminating unnecessary punctuation,links,hashtags,stop words,and duplicate reviews.Lemmatization is also used for keeping consistent word forms.This cleaned IMDb dataset is evaluated on the proposed model for sentiment analysis in which XLNet performs well achieving an impressive 93.74%accuracy on the IMDb Dataset.The findings highlight the effectiveness of deep learning models in improving sentiment analysis,showing its potential for wider applications in natural language processing.
文摘"Carbon neutrality movies"are movies that focus on carbon neutrality as the object of expression and dissemination.Using carbon neutrality as an element,it influences the development of the plot,reflects environmental changes,and focuses on climate change caused by carbon emissions.At the same time,it focuses on offsetting carbon emissions through carbon neutrality behavior,showcasing the impact of carbon neutrality.From the perspective of ecological movies,the evolution of carbon neutrality movies at three stages can be explored.The first stage is high-carbon movies that reflect the high conflict between humans and the natural environment.The second stage is low-carbon movies,reflecting humanity's pursuit of a harmonious coexistence between humans and nature,thus adopting green and low-carbon behaviors.The third stage is carbon neutrality movies,which awaken or guide the public to pay attention to carbon emissions,promote low-carbon living,guide life practice in a carbon neutrality way,and create a better life.There are three characteristics of"carbon neutrality movies",including scientific reflection on global warming,advocating energy conservation and emission reduction in daily life,and promoting clean energy in policies.
文摘Clothing is one of the important factors to perfect present the movie for the audiences; it represents the film actor＇ s ＂second language.＂ A good audience＇ s favorite films in a wonderful show give the audience story, but also the beauty film＇ s art manifested clothing, it gives the audience a visual double enjoyment. In recent years, more and more sci-fi drama movies are loved by the people and recognized by the box office, many science fiction movies in the summer file or Lunar New Year stalls have become a box-office champion. In addition to this success, it is the use of high-tech movie, naturally inseparable from the influx of conceptual clothing. Science fiction movie is about the future vision of the world and longing, through the idea that the concept is applied to the fihn, the final screenplay conceives a screenwriter and shoot. Thus, science fiction nmvies emphasize that the ＂future＂ concept theme, movie costumes are also combined with the need to choose the theme and design, it is clear conceptual costume for sci-fi movie and it is most appropriate. The use of conceptual clothing itself, avant-garde ＂, ＂personality＂ has a sense of future space features, you can add heavy feeling for the future concept of the film, while also provide some support for the fihn to create a science fiction theme.
文摘The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.
文摘English movies are the cultural carriers of English-speaking countries with veritable colloquial expressions, authentic environment and abundant cultural connotation. Teaching English through English movies can not only help students learn English language, but also acquire English culture. It's also an effective way to improve students' oral English and their accultural communication ability.
文摘The translation of titles is the important part in the translation of movies. This paper proposes three principles and summarizes six translation methods in the translation of movie titles.
文摘随着数字化设备的涌现，大家总希望把自己的一系列活动记录下来，随之DV走进了寻常百姓家。一方面我们在为自己的拍摄而兴奋着，另一方面却为自己的一大堆录像带而发愁着。因为说起制作影像资料，大家可能还比较陌生，觉得似乎十分高深莫测，想自己制作却不知道如何下手。下面就如何利用Windows Movie Maker这一软件制作影像材料进行必要的说明。
文摘Taking American Disney Movie Mulan as an object of research, this paper intends to compare Chinese and American cultural differences from three aspects, filial piety vs. individualism, family priority vs. the pursuit of success and gender discrimination vs. feminism.
文摘On the basis of introducing the theory of foreignization,this paper aims to discuss the translation of movie titles with the application of it and a conclusion is drawn that foreignization can retain the characteristics of the original movie titles to keep a distance between the source language culture and target language culture.
文摘There is a great discovery that most respondents prefer to use movies to assist their learning of English novels and they are more competent in the course according to a survey. Through watching movies, learners could better understand and appreciate the basic elements of a novel including plot, character, setting, narrative point of view, theme and style. Thus this approach is recommended to teachers and learners of British and American novels.
文摘Analyzes the conflicting cases through which the movie develops its plot inspiring an inter-cultural thinking and argumentation from perspectives of attitudes towards law and its social factors, and the family values impacting the conflicts. The author proves the truth of the above two to be the primary causes with thorough analysis of the story details appealing to abundant consentaneous understandings and theories.
文摘English movies have authentic oral expression, authentic language environment and rich cultural connotations. Appreciating English movies can not only make one learn the language knowledge, but also have access to cultural knowledge. Language is the carrier of culture. Learning a language is a process of access to culture. English movies can effectively develop the students'English oral communicative competence and thus making teachers achieve the ultimate goal of English teaching.
文摘This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.
