Academic literature on the topic 'Bangla Text Generation'

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Journal articles on the topic "Bangla Text Generation"

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Ali, Md Nawab Yousuf, Md Sarwar Kamal, Md Shamsujjoha, Mohammad Ameer Ali, and Ghulam Farooque Ahmed. "Generation of UNL Attributes and Resolving Relations for Bangla EnConverter." International Journal of Artificial Life Research 7, no. 2 (2017): 21–37. http://dx.doi.org/10.4018/ijalr.2017070102.

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Conversion of Bangla language to another native language and another language to Bangla language using Universal Networking Language (UNL) is highly demanding due to rapidly increasing the usage of Internet-based applications. UNL has been used by various researchers as an inter-lingual approach for an Automated Machine Translation (AMT) scheme. This article presents a novel work on construction of EnConverter for Bangla language with a special focus on generation of UNL attributes and resolving relations of Bangla text. The architecture of Bangla EnConverter, algorithms for understanding the
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Haque, Md Majharul, Suraiya Pervin, Anowar Hossain, and Zerina Begum. "Approaches and Trends of Automatic Bangla Text Summarization." International Journal of Technology Diffusion 11, no. 4 (2020): 67–83. http://dx.doi.org/10.4018/ijtd.20201001.oa.

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As long as the internet user is increasing, online electronic content is growing proportionally irrespective of languages. A lot of research works on English text summarization have come to light to deal with this gigantic body of online text. Unfortunately, a few works have been accomplished for Bangla though a huge number of people are involved with this language. This article has tried to explore the trend of research work on Bangla text summarization. Fourteen approaches have been briefly expounded here by addressing the pros and cons with some scope of improvement. A comparison has also b
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Nayan, Banik, Saha Chayti, Ahmed Ikbal, and Akter Shapna Kulsum. "Bangla text generation system by incorporating attention in sequence-to-sequence model." World Journal of Advanced Research and Reviews 14, no. 1 (2022): 080–94. https://doi.org/10.5281/zenodo.7009006.

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In this AI-driven digital era, the pervasive nature of digital data is possible due to the widespread and cheap access to the Internet. Internet is continuously flourishing with data in many forms. Among them, textual data are a great source of information where people share their expressions in written format. Social media, blogs, online newspapers, government documents are some notable textual data sources. Information extraction from this enormous amount of data by manual inspection is time-consuming, cumbersome, and sometimes impossible. Natural Language Processing (NLP) is the computation
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Nayan Banik, Chayti Saha, Chayti Saha, Ikbal Ahmed, Ikbal Ahmed, and Kulsum Akter Shapna. "Bangla text generation system by incorporating attention in sequence-to-sequence model." World Journal of Advanced Research and Reviews 14, no. 1 (2022): 080–94. http://dx.doi.org/10.30574/wjarr.2022.14.1.0292.

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In this AI-driven digital era, the pervasive nature of digital data is possible due to the widespread and cheap access to the Internet. Internet is continuously flourishing with data in many forms. Among them, textual data are a great source of information where people share their expressions in written format. Social media, blogs, online newspapers, government documents are some notable textual data sources. Information extraction from this enormous amount of data by manual inspection is time-consuming, cumbersome, and sometimes impossible. Natural Language Processing (NLP) is the computation
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Kowsher, Md, Md Shohanur Islam Sobuj, Md Fahim Shahriar, et al. "An Enhanced Neural Word Embedding Model for Transfer Learning." Applied Sciences 12, no. 6 (2022): 2848. http://dx.doi.org/10.3390/app12062848.

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Due to the expansion of data generation, more and more natural language processing (NLP) tasks are needing to be solved. For this, word representation plays a vital role. Computation-based word embedding in various high languages is very useful. However, until now, low-resource languages such as Bangla have had very limited resources available in terms of models, toolkits, and datasets. Considering this fact, in this paper, an enhanced BanglaFastText word embedding model is developed using Python and two large pre-trained Bangla models of FastText (Skip-gram and cbow). These pre-trained models
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Sen, Shibaprasad, Ankan Bhattacharyya, Ram Sarkar, and Kaushik Roy. "BYANJON: A Ground Truth Preparation System for Online Handwritten Bangla Documents." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–16. http://dx.doi.org/10.1145/3464379.

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The work reported in this article deals with the ground truth generation scheme for online handwritten Bangla documents at text-line, word, and stroke levels. The aim of the proposed scheme is twofold: firstly, to build a document level database so that future researchers can use the database to do research in this field. Secondly, the ground truth information will help other researchers to evaluate the performance of their algorithms developed for text-line extraction, word extraction, word segmentation, stroke recognition, and word recognition. The reported ground truth generation scheme sta
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Jishan, Md Asifuzzaman, Khan Raqib Mahmud, Abul Kalam Al Azad, Md Shahabub Alam, and Anif Minhaz Khan. "Hybrid deep neural network for Bangla automated image descriptor." International Journal of Advances in Intelligent Informatics 6, no. 2 (2020): 109. http://dx.doi.org/10.26555/ijain.v6i2.499.

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Automated image to text generation is a computationally challenging computer vision task which requires sufficient comprehension of both syntactic and semantic meaning of an image to generate a meaningful description. Until recent times, it has been studied to a limited scope due to the lack of visual-descriptor dataset and functional models to capture intrinsic complexities involving features of an image. In this study, a novel dataset was constructed by generating Bangla textual descriptor from visual input, called Bangla Natural Language Image to Text (BNLIT), incorporating 100 classes with
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Sharmi, Islam, Hasan Mustahid, and Ismail Jabiullah Md. "An Implementation of Advanced NLP for High-Quality Text-To-Speech Synthesis." Advancement of Computer Technology and its Applications 4, no. 3 (2021): 1–12. https://doi.org/10.5281/zenodo.5549329.

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In this paper, we utilize Bengali voice information (Bangladesh and Kolkata) to convert it in to text format. In order to build a Speech to text conversion framework one should give two key parts: a NLP (Natural Language Processing) stage, basically works on the information on the input speech, and a text generation stage to produce the desired output. These two distinct levels must exchange both data and commands to supply Text. As completing task relies on many distinct scientific areas, any achievement toward standardization can minimize the effort and increase the dynamic of the results. T
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Basu, Durba. "Teaching Macbeth in “Other” Places." Borrowers and Lenders: The Journal of Shakespeare and Appropriation 16, no. 1 (2024): 47–59. http://dx.doi.org/10.18274/fv41wq06.

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My paper arises out of my pedagogic experiences of teaching Shakespeare plays to first-generation un-dergraduate students in classrooms where the teaching of English literature must necessarily proceed in a bilingual mode, with the help of Bangla/Bengali. What does it involve to navigate between Shake-speare’s English and Bangla as it is spoken in the present times? What does it involve to bring alive a Renaissance play to the imagination of those whose only experience of theatre (if at all) is witnessing seasonal yātrā performances of touring city-based troupes on makeshift stages erected for
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Mellysah and Nurdin. "Pengaruh Kontrol Diri Pengetahuan Keuangan dan Sikap Keuangan terhadap Perilaku Manajemen Keuangan pada Generasi Milenial." Jurnal Riset Manajemen dan Bisnis 1, no. 2 (2022): 116–20. http://dx.doi.org/10.29313/jrmb.v1i2.541.

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Abstract. This study aims to determine the effect of self-control, knowledge and financial attitudes on financial management behavior in the millennial generation (Case Study on Community in Tanjung Batu Itam Village, Simpang Pesak District, East Belitung Regen cy, Bangka Belitung Province). The research method used in this research is quantitative associative. The data collection technique was using a closed questionnaire and a Likert scale. In this study, the population of the millennial generation in Tanjung Batu Itam Village was 1058 people and the samples obtained after meeting the sample
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Book chapters on the topic "Bangla Text Generation"

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Ali, Md Nawab Yousuf, Shaikh Muhammad Allayear, M. Ameer Ali, and Golam Sorwar. "Generation of Bangla Text from Universal Networking Language Expression." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32573-1_25.

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Ibne Akhtar, Nahid, Kh Mohimenul Islam Shazol, Rifat Rahman, and Mohammad Abu Yousuf. "Bangla Text Generation Using Bidirectional Optimized Gated Recurrent Unit Network." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4673-4_9.

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Chakraborty, Rejoy, Payel Rakshit, Chayan Halder, and Kaushik Roy. "Semi-automated Ground Truth Generation System for Bangla Offline Handwritten Text Documents." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9762-2_10.

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Karim, Tajbia, and Zainal Rasyid Mahayuddin. "Real-Time Bangla Sign Words Interpretation Uttered at Medical Emergencies." In 5G, Artificial Intelligence, and Next Generation Internet of Things. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8634-4.ch006.

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Sign language is a medium of communication using gestures which is developed for people who suffer from auditory or verbal impairment. But sign language is usually not widely familiar to common people. For this reason, a sign language interpreter is essential for translating sign word representation to regular text or voice. Though there are some research works on American Sign Language interpretation, but it is inadequate in number for other languages. This chapter illustrates real time interpretation of medical emergency relevant Bangla sign words using machine learning. Considering medical
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Ali, Nawab Yousuf, and Shamim H. Ripon. "UNL-Based Bangla Machine Translation Framework." In Technical Challenges and Design Issues in Bangla Language Processing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3970-6.ch003.

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The usage of native language through Internet is highly demanding due to the rapid increase of Internet-based applications in daily life. As information is available in the Internet in different languages, it is impossible to retrieve the information in other languages. Universal Networking Language (UNL) addresses this issue by converting the requested information from other languages to UNL expressions followed by UNL expressions to respective native languages. Even though Bangla is the sixth most popular language in the world, there is no system developed so far to convert Bangla text into
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Avery, Tamlyn. "Caught and Loose: McCullers, O’Connor, and the Gothic Bildungsroman." In The Regional Development of the American Bildungsroman, 1900-1960. Edinburgh University Press, 2023. http://dx.doi.org/10.3366/edinburgh/9781474489966.003.0009.

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Chapter 8 discusses how the gothic mode, a term which in the mid-twentieth century typically referred to Southern texts that juxtaposed the region’s banal, everyday features with images of violence, deprivation, and estrangement, merged with the realist Bildungsroman to similarly represent the jagged effects of modernization upon underdeveloped rural communities. This chapter observes how that tendency was reflected in Carson McCullers’s The Member of the Wedding and Flannery O’Connor’s The Violent Bear It Away. In these novels, an unfixed youth attempts to find their place in a world they kno
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Conference papers on the topic "Bangla Text Generation"

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Mamun, Muntasir, Shibli Noman Sunny, and M. Shahidur Rahman. "Transformers in Bangla Text: Advancing MCQ and Answer Generation Methods." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11021706.

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Nezami, Mohammad Arif, and Mohammad Nurul Huda. "Troll and Abuser Identification in Social Media for Code-Mixed English, Bangla, and Banglish Text Analysis Using LLMs." In 2024 International Conference on Intelligent Computing and Next Generation Networks (ICNGN). IEEE, 2024. https://doi.org/10.1109/icngn63705.2024.10871363.

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Islam, Md Ariful, Md Ariful Islam, Ahsanul Karim, et al. "Automatic 3D Animated Bangla Sign Language Gestures Generation from Bangla Text and Voice." In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2022. http://dx.doi.org/10.1109/sti56238.2022.10103252.

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Niloy, Md Robiul Islam. "Advancements in Handwritten Bangla Text Generation using Generative Adversarial Networks: A Focus on Complete Text Recovery." In ICCA 2024: 3rd International Conference on Computing Advancements. ACM, 2024. https://doi.org/10.1145/3723178.3723229.

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Haque Palash, Md Aminul, Md Abdullah Al Nasim, Aditi Dhali, and Faria Afrin. "Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network." In 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE, 2021. http://dx.doi.org/10.1109/raaicon54709.2021.9929536.

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Dhar, Nobel, Gaurob Saha, Prithwiraj Bhattacharjee, Avi Mallick, and Md Saiful Islam. "Pointer over Attention: An Improved Bangla Text Summarization Approach Using Hybrid Pointer Generator Network." In 2021 24th International Conference on Computer and Information Technology (ICCIT). IEEE, 2021. http://dx.doi.org/10.1109/iccit54785.2021.9689852.

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Sedaralit, Mohd Faizal, M. Imran Iskandar Ibrahim, and Azman Maam. "Well Lifting Capability to a Green Power Generation Using Microturbine Generator." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207515-ms.

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Abstract A new way of utilizing access gas to power generation using newly developed technology named micro-turbine electric generator (mTEG). This technology is using relatively low gas flow rate: same region of gas-lift consumption between 0.3 – 0.5 MMscf/d of power generation for a minimum of one kilo Watt (1kW) per unit. The technology is classified under green category is due to no combustion process instead using pressure differential as the mechanism for power generation. Therefore, it supports PETRONAS’ net carbon zero program especially for unmanned platform operation. The mTEG is sim
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Jawale, Pradeep, Ashok Mache, Vedant Irabatti, and Akshay Umate. "Natural Fiber Base Composite Material Solution for Vibration Damping of ICE and Next-Generation Vehicle." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0728.

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<div class="section abstract"><div class="htmlview paragraph">Vibration control plays a critical role in conventional as well as next-generation vehicles. Construction of the vehicle, road conditions, and driving patterns are the major sources of the vibrations that cause discomfort to the passengers in the vehicle. Composite material is being looked at as an alternative material in the automotive sector due to its higher specific strength and good damping properties. In this research, the test specimen of steel plate used in automotive has been considered. The damping vibration te
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Matsuoka, Taichi, Katsuaki Sunakoda, Kazuhiko Hiramoto, et al. "Vibration Tests of 3-Story Benchmark Structure With Three Semiactive Dampers." In ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25360.

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In a previous paper the authors developed a semiactive damper that generates electrical power, and carried out vibration tests using a 3-story benchmark structure at NCREE, Taiwan in 2006. At that time, the dampers were installed at 1st and 2nd floors. The damper has a large inertia mass by flywheel and controllable damping force by generator, and a load capacity of 30 kN. In the test, the damper at 1st floor was only controlled by Bang-bang control that was based on Lyapunov function. In this paper as the next step, in order to demonstrate more effectiveness of vibration suppression, the damp
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