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educational videos Subtitles’Summarization Using Latent Dirichlet Allocation and Length Enhancement

Computers, Materials & Continua 2022年第3期70卷 6205-6221页

作者： Sarah S.Alrumiah Amal A.Al-Shargabi Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia

Nowadays,people use online resources such as educational videos and ***,such videos and courses are mostly long and thus,summarizing them will be *** video contents(visual,audio,and subtitles)could be analyzed to generate textual summaries,i.e.,***’subtitles contain significant ***,summarizing subtitles is effective to concentrate on the necessary *** of the existing studies used Term Frequency-Inverse Document Frequency(TF-IDF)and Latent Semantic Analysis(LSA)models to create lectures’*** study takes another approach and applies LatentDirichlet Allocation(LDA),which proved its effectiveness in document ***,the proposed LDA summarization model follows three *** first phase aims to prepare the subtitle file for modelling by performing some preprocessing steps,such as removing stop *** the second phase,the LDA model is trained on subtitles to generate the keywords list used to extract important *** in the third phase,a summary is generated based on the keywords *** generated summaries by LDA were lengthy;thus,a length enhancement method has been *** the evaluation,the authors developed manual summaries of the existing“EDUVSUM”educational videos *** authors compared the generated summaries with the manual-generated outlines using two methods,(i)Recall-Oriented Understudy for Gisting Evaluation(ROUGE)and(ii)human *** performance of LDA-based generated summaries outperforms the summaries generated by TF-IDF and *** reducing the summaries’length,the proposed length enhancement method did improve the summaries’precision *** domains,such as news videos,can apply the proposed method for video summarization.

关键词： Subtitle summarization educational videos topic modelling LDA extractive summarization

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Audio Description for educational videos on COVID-19 Response:A Corpus-Based Study on Linguistic and Textual Idiosyncrasies

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Journal of Literature and Art Studies 2023年第4期13卷 276-285页

作者： XIONG Ling-song College of Foreign Languages Chongqing Medical UniversityChongqingChina

Audio description(AD),unlike interlingual translation and interpretation,is subject to unique constraints as a spoken *** by AD,educational videos on COVID-19 anti-virus measures are made accessible to the visually *** this study,a corpus of AD of COVID-19 educational videos is developed,named“Audio Description Corpus of COVID-19 educational videos”(ADCCEV).Drawing on the model of Textual and Linguistic Audio Description Matrix(TLADM),this paper aims to identify the linguistic and textual idiosyncrasies of AD themed on COVID-19 response released by the New Zealand *** study finds that linguistically,the AD script uses a mix of complete sentences and phrases,the majority being in Present Simple *** participles and the“with”structure are used for *** is diverse,with simpler words for animated ***-person pronouns are common in educational *** words are a salient feature of AD,where“yellow”denotes urgency,and“red”indicates importance,negativity,and *** textual idiosyncrasies,coherence is achieved through intermodal components that align with the video’s mood and *** style varies depending on the video’s purpose,from informative to narrative or expressive.

关键词： Audio Description COVID-19 educational videos corpus-based study

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