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Journal articles on the topic 'Bengali sign language'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Ayshee, Tanzila Ferdous, Sadia Afrin Raka, Quazi Ridwan Hasib, Rashedur M. Rahman, and Md Hossain. "Sign Language Recognition for Bengali Characters." International Journal of Fuzzy System Applications 4, no. 4 (2015): 1–14. http://dx.doi.org/10.4018/ijfsa.2015100101.

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Sign language is the primary means of communication for people having speaking and hearing impairment. This language uses a system of manual, facial, and other body movements as the means of communication, as opposed to acoustically conveyed sound patterns. This paper uses image processing and fuzzy logic to develop an intelligent system to recognize Bengali Sign Language. The proposed system works in two phases. In the first phase, the fuzzification methods are defined. Then in the next phase, the raw images are processed to identify the fuzzy rules. A detailed implementation procedure of the

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2

Rahman, Tanim, Tanjia Chowdhury, and Jeenat Sultana. "Bengali sign language translator with location tracking system." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 3 (2024): 1760. http://dx.doi.org/10.11591/ijeecs.v33.i3.pp1760-1767.

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Designing an embedded system to convert sign language to sound forms to communicate with the outside world can be a challenging yet rewarding project, especially for mute people. To convey a speaker's thought through sign language, hand shapes, hand orientation and movement, and facial expressions must be combined concurrently. This research is intended to design a system that translates sign language into sound forms to establish communication with the outside world for people who are deaf, those who can hear but cannot physically speak, or have trouble with spoken languages due to some other

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Rahman, Tanim, Tanjia Chowdhury, and Jeenat Sultana. "Bengali sign language translator with location tracking system." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 3 (2024): 1760–67. https://doi.org/10.11591/ijeecs.v33.i3.pp1760-1767.

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Designing an embedded system to convert sign language to sound forms to communicate with the outside world can be a challenging yet rewarding project, especially for mute people. To convey a speaker's thought through sign language, hand shapes, hand orientation and movement, and facial expressions must be combined concurrently. This research is intended to design a system that translates sign language into sound forms to establish communication with the outside world for people who are deaf, those who can hear but cannot physically speak, or have trouble with spoken languages due to some other

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4

Raihan, Md Johir, Mainul Islam Labib, Abdullah Al Jaid Jim, Jun Jiat Tiang, Uzzal Biswas, and Abdullah-Al Nahid. "Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People." Sensors 24, no. 16 (2024): 5351. http://dx.doi.org/10.3390/s24165351.

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Sign language is undoubtedly a common way of communication among deaf and non-verbal people. But it is not common among hearing people to use sign language to express feelings or share information in everyday life. Therefore, a significant communication gap exists between deaf and hearing individuals, despite both groups experiencing similar emotions and sentiments. In this paper, we developed a convolutional neural network–squeeze excitation network to predict the sign language signs and developed a smartphone application to provide access to the ML model to use it. The SE block provides atte

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Shamrat, F. M. Javed Mehedi, Sovon Chakraborty, Md. Masum Billah, Moumita Kabir, Nazmus Shakib Shadin, and Silvia Sanjana. "Bangla numerical sign language recognition using convolutional neural networks." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 405–13. https://doi.org/10.11591/ijeecs.v23.i1.pp405-413.

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The amount of deaf and mute individuals on the earth is rising at an alarming rate. Bangladesh has about 2.6 million people who are unable to interact with the community using language. Hearing-impaired citizens in Bangladesh use Bangladeshi sign language (BSL) as a means of communication. In this article, we propose a new method for Bengali sign language recognition based on deep convolutional neural networks. Our framework employs convolutional neural networks (CNN) to learn from the images in our dataset and interpret hand signs from input images. Checking their collections of ten indicatio

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6

AbdurRahim, Md, Tanzillah Wahid, and Md Khaled Ben Islam. "Visual Recognition of Bengali Sign Language using Artificial Neural Network." International Journal of Computer Applications 94, no. 17 (2014): 1–5. http://dx.doi.org/10.5120/16448-0572.

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7

Mehedi Shamrat, F. M. Javed, Sovon Chakraborty, Md Masum Billah, Moumita Kabir, Nazmus Shakib Shadin, and Silvia Sanjana. "Bangla numerical sign language recognition using convolutional neural networks (CNNs)." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 405. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp405-413.

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<p>The amount of deaf and mute individuals on the earth is rising at an alarmingrate. Bangladesh has about 2.6 million people who are unable to interact with the community using language. Hearing-impaired citizens in Bangladesh use Bangladeshi sign language (BSL) as a means of communication. In this article,we propose a new method for Bengali sign language recognition based on deep convolutional neural networks. Our framework employs convolutional neural networks (CNN) to learn from the images in our dataset and interpret hand signs from input images. Checking their collections of ten in

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8

Afrin, Sanjida. "Semiotic Interpretation of Bangla Ligatures: An Introduction." Dhaka University Journal of Linguistics 2, no. 3 (2010): 111–24. http://dx.doi.org/10.3329/dujl.v2i3.4147.

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Semiotics is the study of sign processes emphasizing signification and communication, signs and symbols of different social phenomena. In the late 19th and early 20th century the works of Ferdinand de Saussure and Charles Sanders Peirce led to the emergence of semiotics as a separate discipline as well as method for examining phenomena in different fields, including aesthetics, anthropology, communications, psychology, and semantics. Saussure's interpretation of linguistic sign from a semiotic perspective has, better or worse, affected much of subsequent discussions about language. But accordi

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9

Miah, Abu Saleh Musa, Jungpil Shin, Md Al Mehedi Hasan, and Md Abdur Rahim. "BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network." Applied Sciences 12, no. 8 (2022): 3933. http://dx.doi.org/10.3390/app12083933.

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Sign language recognition is one of the most challenging applications in machine learning and human-computer interaction. Many researchers have developed classification models for different sign languages such as English, Arabic, Japanese, and Bengali; however, no significant research has been done on the general-shape performance for different datasets. Most research work has achieved satisfactory performance with a small dataset. These models may fail to replicate the same performance for evaluating different and larger datasets. In this context, this paper proposes a novel method for recogn

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10

Rahim, Md Abdur, Jungpil Shin, and Keun Soo Yun. "Soft Voting-based Ensemble Model for Bengali Sign Gesture Recognition." Annals of Emerging Technologies in Computing 6, no. 2 (2022): 41–49. http://dx.doi.org/10.33166/aetic.2022.02.003.

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Human hand gestures are becoming one of the most important, intuitive, and essential means of recognizing sign language. Sign language is used to convey different meanings through visual-manual methods. Hand gestures help the hearing impaired to communicate. Nevertheless, it is very difficult to achieve a high recognition rate of hand gestures due to the environment and physical anatomy of human beings such as light condition, hand size, position, and uncontrolled environment. Moreover, the recognition of appropriate gestures is currently considered a major challenge. In this context, this pap

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11

Begum, Nasima, Rashik Rahman, Nusrat Jahan, et al. "Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs." Applied Sciences 13, no. 9 (2023): 5219. http://dx.doi.org/10.3390/app13095219.

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Sign language is the most commonly used form of communication for persons with disabilities who have hearing or speech difficulties. However, persons without hearing impairment cannot understand these signs in many cases. As a consequence, persons with disabilities experience difficulties while expressing their emotions or needs. Thus, a sign character detection and text generation system is necessary to mitigate this issue. In this paper, we propose an end-to-end system that can detect Bengali sign characters from input images or video frames and generate meaningful sentences. The proposed sy

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12

Akter, Tahmina, Muhammad Anwarul, and Mohammad Khairul Islam. "Gesture Recognition for Interpretation of Bengali Sign Language using Hyper Parameter Tuning Convolution Neural Network." International Journal of Computer Applications 185, no. 13 (2023): 1–7. http://dx.doi.org/10.5120/ijca2023922672.

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13

Arif, Arif, and Begam Begam. "Myth and Meaning: A mythical analysis of the sign ‘Nineteen seventy one(1971)’ from Barthian perspective,." Dhaka University Journal of Linguistics 5-6, no. 9-12 (2015): 17–38. https://doi.org/10.70438/dujl/56912/0002.

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The present paper comprises two different parts which explain the concept of 'myth'from two academic points of view. The first part describes the traditional view of human myth relating it with the deep cultural surface of the society. The second part, on the other hand, reflects a semiotic view of myth and reviews it with the process of giving rise to extended or connotative meaning of an existing social phenomenon. The authors include Barthes's Mythologies with a view to providing a semiological interpretation of various contemporary myths of societies. Alongside, the second part incorporate

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14

Johnson, Russell J., and Jane E. Johnson. "Distinction between West Bengal Sign Language and Indian Sign Language Based on Statistical Assessment." Sign Language Studies 16, no. 4 (2016): 473–99. http://dx.doi.org/10.1353/sls.2016.0016.

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15

A., Ajith, and Devaraj A. "Content analysis of Bharati's Unexplored Archive Data, A Historical Perspective - 1911-1912." Shanlax International Journal of Arts, Science and Humanities 9, S3 (2022): 14–18. https://doi.org/10.5281/zenodo.6566423.

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The political environment withinside the Tamil province of Madras Presidency changed into absolutely modified after the partition of Bengal in July 1905. Protest meetings, scholar demonstrations, and boycott had been held throughout Tamil province. The anti-partition motion occupied the the front pages of nationalist press. The wave of anti-British agitations organized the floor for the energetic Swadeshi Movement, which changed into released quickly after the yearly consultation of the Congress in December 1905. At this juncture, new leaders had been emerged and advised the human beings to si

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16

Khalil, Ahammad, Ahmed Bhuiyan Shawon Jubayer, Chakraborty Partha, Jahidul Islam Md., and Rahman Saifur. "Recognizing Bengali Sign Language Gestures for Digits in Real Time Using Convolutional Neural Network." February 11, 2021. https://doi.org/10.5281/zenodo.4533376.

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Abstract—Recognizing sign language gestures for different languages has been found as a promising field of research that explores the possibility of communication by interpreting various signs and translating them into text or speech. Establishing a better communication way between deaf-mute people and ordinary people is the prime objective of this research arena. There are many existing Sign Language Recognition (SLR) systems throughout the world and these SLR systems are implemented using various methods, tools and techniques with a view to achieving better recognition accuracy. This r

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17

Jim, Abdullah Al Jaid, Ibrahim Rafi, Md Zahid Akon, Uzzal Biswas, and Abdullah-Al Nahid. "KU-BdSL: An open dataset for Bengali sign language recognition." Data in Brief, November 2023, 109797. http://dx.doi.org/10.1016/j.dib.2023.109797.

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18

Dr. Md. Morsheduz Zaman. "FUTURE AND CHALLENGES OF GOALPARIA DIALECT." International Education and Research Journal 10, no. 9 (2024). https://doi.org/10.21276/ierj24766549379431.

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The main language of Assam, a state geographically situated in the North-Eastern Region of India, is Assamese. Among the various Dialects of Assamese language, "Goalparia" is regarded as one of the most important dialects. Goalparia dialect is spoken mainly in the lower Brahmaputra valley and the plains of Garo Hills. Historically, as this region was constantly in interaction with the Mughal occupied political Bengal, there are many Bengali and Urdu-Persian words which became part of Goalparia vocabulary. Similarly during the colonial period many English, Hindi words made inroads into Goalpari

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19

Begum, Halima, Oishik Chowdhury, Md Shakib Rahman Hridoy, and Muhammed Mazharul Islam. "AI-based Sensory Glove System to Recognize Bengali Sign Language (BaSL)." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3472469.

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20

Ali, Asfak, Bibek Das, Ahmad sami Al-Shamayleh, et al. "Descriptor: Egocentric Action Recognition for Bengali Sign Language Detection Dataset (Ego-SLD)." IEEE Data Descriptions, 2025, 1–11. https://doi.org/10.1109/ieeedata.2025.3563836.

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21

Chowdhury, Safi Ullah, Nasima Begum, Tanjina Helaly, and Rashik Rahman. "Sign3DNet: An Enhanced 3D CNN Architecture for Bengali Word-Level Sign Language Recognition." International Journal of Advanced Computer Science and Applications 16, no. 6 (2025). https://doi.org/10.14569/ijacsa.2025.0160689.

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22

"Image to Text conversion in Foreign Language using Document Image Processing Technique." International Journal of Innovative Technology and Exploring Engineering 9, no. 1 (2019): 169–73. http://dx.doi.org/10.35940/ijitee.a3969.119119.

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Every country has their own native languages such France has French, Japan has Japanese, India has Hindi and other local languages like Gujrati, Marathi, Telugu, Tamil, Bengali, etc. When a person who does not know the English Language travel to a country whose local language is English will face many problems like understanding road sign texts, shop’s name, Instructions Boards etc. So, in this paper we are proposing a model with the help of which user can take snap of the scene containing text of which he/she want to translate it, upload that photo, choose the language and the software will p

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23

Jim, Abdullah Al Jaid, Ibrahim Rafi, Jun Jiat Tiang, Uzzal Biswas, and Abdullah-Al Nahid. "KUNet-An Optimized AI based Bengali Sign Language Translator for Deaf and Dumb People." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3474011.

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24

Begum, Nasima, Saqib Sizan Khan, Rashik Rahman, et al. "QMX-BdSL49: An Efficient Recognition Approach for Bengali Sign Language with Quantize Modified Xception." International Journal of Advanced Computer Science and Applications 14, no. 5 (2023). http://dx.doi.org/10.14569/ijacsa.2023.01405113.

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Begum, Nasima, Saqib Sizan Khan, Rashik Rahman, et al. "Qmx-Bdsl49: An Efficient Approach for Bengali Sign Language Recognition with Quantize Modified Xception." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4308298.

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-, Ishat Salsabil Silvia, and Kamrul Hasan Talukder -. "Dynamic BdSL Digit Recognition using Hybrid 3DCNN+BiLSTM Model." International Journal For Multidisciplinary Research 6, no. 3 (2024). http://dx.doi.org/10.36948/ijfmr.2024.v06i03.20993.

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Sign language is used as a way of communication by deaf and mute individuals. However, due to the limited number of people who understand sign language, integrating them into society is challenging. Approximately 6.9% of Bangladesh's population and 5% of the world’s population suffer from speech impediments. Individuals with this condition cannot hear what others are saying or communicate verbally, thus sign language must be relied upon. In recent years, sign language recognition has gained attention due to its necessity. However, a scarcity of publicly available dynamic gesture datasets for B

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27

Jia, Wanjun, and Changyong Li. "SLR-YOLO: An improved YOLOv8 network for real-time sign language recognition." Journal of Intelligent & Fuzzy Systems, November 22, 2023, 1–18. http://dx.doi.org/10.3233/jifs-235132.

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This study proposes a method to help people with different degrees of hearing impairment to better integrate into society and perform more convenient human-to-human and human-to-robot sign language interaction through computer vision. Traditional sign language recognition methods make it challenging to get good results on scenes with backgrounds close to skin color, background clutter, and partial occlusion. In order to realize faster real-time display, by comparing standard single-target recognition algorithms, we choose the best effect YOLOv8 model, and based on this, we propose a lighter an

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28

Idkowiak, Jan, Suma Uday, Sabba Elhag, et al. "Diabetes control is worse in children and young people with type 1 diabetes requiring interpreter support." Frontiers in Clinical Diabetes and Healthcare 4 (November 27, 2023). http://dx.doi.org/10.3389/fcdhc.2023.1228820.

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IntroductionLanguage barriers can pose a significant hurdle to successfully educating children and young people with type 1 diabetes (CYPD) and their families, potentially influencing their glycaemic control.MethodsRetrospective case-control study assessing HbA1c values at 0, 3, 6, 9, 12 and 18 months post-diagnosis in 41 CYPD requiring interpreter support (INT) and 100 age-, sex- and mode-of-therapy-matched CYPD not requiring interpreter support (CTR) in our multi-diverse tertiary diabetes centre. Data were captured between 2009-2016. English indices of deprivation for each cohort are reporte

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Manna, Nirmalya, Shibasish Banerjee, Pulak Kumar Jana, Soumitra Mondal, and Saikat Bhattacharya. "A CROSS-SECTIONAL STUDY ON COMMON BEHAVIORAL PROBLEMS AMONG THE UNDERPRIVILEGED ADOLESCENTS IN A SCHOOL OF KOLKATA." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH, May 1, 2021, 9–11. http://dx.doi.org/10.36106/ijsr/2903339.

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Adolescence is characterized by conicts of values, emotional stress and readiness to extreme attitudes, which invariably leads to several psychosocial problems of adolescents. During adolescence, the frequency and severity of violent interactions increase. Worldwide, the prevalence of clinically signicant psychiatric disorder in children is at least 7%. This rate rises in socially disadvantaged and densely populated urban areas. It also increases by 3%-4% after puberty. Substance abuse is a common trigger of behavioral problems and often requires specic therapy. Behavioral problems may be t

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