Machine translation from text to sign language: a systematic review

Kahlon, Navroz Kaur; Singh, Williamjeet

doi:10.1007/s10209-021-00823-1

Cited by 58 publications

(17 citation statements)

References 109 publications

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“…As a result, a sentence from a source language to a target language with complicated rule sets and huge lexicons would be produced. They succeeded in translating text into glossed sign language corpora, which is an example of research for this approach [28].…”

Section: Machine Translationmentioning

confidence: 99%

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Jahai language repository: a mobile application

Rahman

Mohamad

Mohtar

et al. 2023

IJEECS

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The Jahai language is facing extinction primarily because it is among the least spoken language among minority groups in Malaysia. This is due to lesser speakers and the shift to using a more dominant language. The Jahai tribe is one of the community groups living in the Royal Belum Perak State Park. People who need assistance from Jahai people often face difficulties in communicating with them due to the language barrier. Therefore, a mobile translation system was developed to preserve the language. The system translates the Jahai terms into Malay language. This way, by using the system, other ethnics in Malaysia can understand the language especially when communicating with Jahai people. Three main steps are required in the translation process; first, key in the text input via special character keypad. Then, the system will search the matching word in the database. Finally, the meaning of the word will be displayed. The testing results have indicated this system is functional and accepted with the SUS score of 94/100. Several future recommendations could be made such as including voice search function and adding more Jahai terms in other categories so as to improve the functionality and usability of this proposed system.

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Section: Machine Translationmentioning

confidence: 99%

“…Google Translate is the most well-known example. However, there are certain drawbacks to using these systems, such as domain mismatch, a large amount of training data, unusual words, extensive sentences, word alignment, and beam search [28].…”

Section: Machine Translationmentioning

confidence: 99%

Jahai language repository: a mobile application

Rahman

Mohamad

Mohtar

et al. 2023

IJEECS

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“…The number of respondents who rated themselves as highly informed (10) or not at all informed (1) was relatively low, indicating that most participants had a good understanding of AI but did not consider themselves experts.…”

Section: Demographic Informationmentioning

confidence: 99%

“…In recent years, AI has witnessed important breakthroughs, particularly in machine learning [3,4] and natural language processing [5,6]. The remarkable success of AI in addressing complex tasks like image recognition [7][8][9], language translation [10], and predictive modeling [11,12] has sparked the development of even more sophisticated applications across various sectors of life.…”

Section: Introductionmentioning

confidence: 99%

Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis

Idroes,

Noviandy,

Maulana

et al. 2023

J. Educ. Manag. Learn.

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Artificial intelligence (AI) has emerged as a powerful technology that has the potential to transform education. This study aims to comprehensively understand students' perspectives on using AI within educational settings to gain insights about the role of AI in education and investigate their perceptions regarding the advantages, challenges, and expectations associated with integrating AI into the learning process. We analyzed the student responses from a survey that targeted students from diverse academic backgrounds and educational levels. The results show that, in general, students have a positive perception of AI and believe AI is beneficial for education. However, they are still concerned about some of the drawbacks of using AI. Therefore, it is necessary to take steps to minimize the negative impact while continuing to take advantage of the advantages of AI in education.

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“…The proposed system has been divided into two sub-sections: (i) display video captions in English language, (ii) second section plays a 3D avatar video for English words. Navroz and William have presented a review study about the machine translation of text to sign language and highlights the benefits and importance of the 3D synthesis sign gestures [39]. A hybrid approach for synthesis sign has been proposed to create a synthetic sign gesture using 3D avatar.…”

Section: Related Workmentioning

confidence: 99%

An automatic machine translation system for multi-lingual speech to Indian sign language

Dhanjal

Singh

2021

Multimed Tools Appl

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Sign language (SL) is the best suited communication medium for hearing impaired people. Even with the advancement of technology, there is a communication gap between the hearing impaired and hearing people. The aim of this research work is to bridge this gap by developing an automatic system that translates the speech to Indian Sign Language using Avatar (SISLA). The whole system works in three phases: (i) The first phase includes the speech recognition (SR) of isolated words for English, Hindi and Punjabi in speaker independent environment (ii) The second phase translates the source language into Indian Sign Language (ISL) (iii) HamNoSys based 3D avatar represents the ISL gestures. The four major implementation modules for SISLA include: requirement analysis, data collection, technical development and evaluation. The multi-lingual feature makes the system more efficient. The training and testing speech sample files for English (12,660, 4218), Hindi (12,610, 4211) and Punjabi (12,600, 4193) have been used to train and test the SR models. Empirical results of automatic machine translation show that the proposed trained models have achieved the minimum accuracy of 91%, 89% and 89% for English, Punjabi and Hindi respectively. Sign language experts have also been used to evaluate the sign error rate through feedback. Future directions to enhance the proposed system using non-manual SL features along with the sentence level translation has been suggested. Usability testing based on survey results confirm that the proposed SISLA system is suitable for education as well as communication purpose for hearing impaired people.

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Machine translation from text to sign language: a systematic review

Cited by 58 publications

References 109 publications

Jahai language repository: a mobile application

Jahai language repository: a mobile application

Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis

An automatic machine translation system for multi-lingual speech to Indian sign language

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