Automatic translation of Arabic text-to-Arabic sign language

Luqman, Hamzah; Mahmoud, Sabri A.

doi:10.1007/s10209-018-0622-8

Cited by 69 publications

(34 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Plus, ArSL is not universal; alternatively, it varies from one country to another and maybe differs in the same country. In Arab countries, there are Saudi, Iraqi, Moroccan, and Egyptian of the used sign languages [7]. In 1999, the first part of the unified dictionary of ArSL was published by The League of Arab States (LAS) and the Arab League Educational, Cultural and Scientific Organization (ALECSO) to unify the Arabic sign language (ArSL) and in 2007 the second part of [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of arabic sign language dictionary using 3D avatar technologies

Aliwy

Alethary

2021

IJEECS

View full text Add to dashboard Cite

<span>The arabic sign language (ArSL) is the natural language of the deaf community in Arabic countries. ArSL suffers from a lack of resources such as unified dictionaries and corpora. In this work, a dictionary of Arabic language to ArSL has been constructed as a part of a translation system. The Arabic words are converted into hamburg notation system (HamNoSys) using eSign editor Software. HamNoSys was used to create manual parameters (handshape, hand orientation, hand location, and hand movement), while non-manual parameters (facial expressions, shoulder raising, mouthing gesture, head tilting, and body movement) added by using (mouth, face, and limbs) in the eSign editor software. The sign then converted to the sign gesture markup language (SiGML) file, and later 3D avatar interprets the SiGML file scripts to the animated sign. The constructed dictionary has three thousand signs; therefore, it can be adopted for the translation system in which written text can be transformed into sign language and can be utilized for the education of deaf people. The dictionary will be available as a free resource for researchers. It is hard and time-consuming work, but it is an essential step in machine translation of whole Arabic text to ArSL with 3D animations. </span>

show abstract

Section: Introductionmentioning

confidence: 99%

“…The system provided a visual interface to allow users to translate from an Arabic Sign language to an American Sign Language. Hamzah et al [7] constructed a dictionary of images as a part of a translation system from the Arabic language to ArSL. The dictionary contains about 3200 signs.…”

Section: Introductionmentioning

confidence: 99%

Development of arabic sign language dictionary using 3D avatar technologies

Aliwy

Alethary

2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…For instance, British Sign Language (BSL) [2], German Sign Language (DGS) [3], and Spanish Sign Language (LSE) [4] are among the wellstudied sign languages in Europe. While recently significant development has been observed for sign languages of many other regions of the world as well including South African Sign Language [5], Indian [6], Vietnamese sign language [7], Bangladeshi [8], Pakistani [9] [13] [14] Thai [10], Arabic [11], and Malaysian [12] sign languages.…”

Section: Introductionmentioning

confidence: 99%

A Crowdsourcing-Based Framework for the Development and Validation of Machine Readable Parallel Corpus for Sign Languages

et al. 2021

View full text Add to dashboard Cite

Sign languages are used by the deaf and mute community of the world. These are gesture based languages where the subjects use hands and facial expressions to perform different gestures. There are hundreds of different sign languages in the world. Furthermore, like natural languages, there exist different dialects for many sign languages. In order to facilitate the deaf community several different repositories of video gestures are available for many sign languages of the world. These video based repositories do not support the development of an automated language translation systems. This research aims to investigate the idea of engaging the deaf community for the development and validation of a parallel corpus for a sign language and its dialects. As a principal contribution, this research presents a framework for building a parallel corpus for sign languages by harnessing the powers of crowdsourcing with editorial manager, thus it engages a diversified set of stakeholders for building and validating a repository in a quality controlled manner. It further presents processes to develop a word-level parallel corpus for different dialects of a sign language; and a process to develop sentence-level translation corpus comprising of source and translated sentences. The proposed framework has been successfully implemented and involved different stakeholders to build corpus. As a result, a word-level parallel corpus comprising of the gestures of almost 700 words of Pakistan Sign Language (PSL) has been developed. While, a sentencelevel translation corpus comprising of more than 8000 sentences for different tenses has also been developed for PSL. This sentence-level corpus can be used in developing and evaluating machine translation models for natural to sign language translation and vice-versa. While the machine-readable word level parallel corpus will help in generating avatar based videos for the translated sentences in different dialects of a sign language.

show abstract

“…Whereas, significant research work has been done in British Sign Language (BSL) [2], Spanish Sign Language [3], South African Sign Language [4], and German Sign Language [5]. While, there is a rising trend in the countries of the developing world, particularly in South and South East Asia, to facilitate their deaf community, as the literature reveals a considerable number of research articles are being published for the development of Indian [6], Veitnamese sign language [7], Bangladeshi [8], Pakistani [9], Thai [10], Arabic [11], and Malaysian [12] sign languages.…”

Section: Introductionmentioning

confidence: 99%

A Process to Develop Sign Language Corpus using Crowdsourcing

Farooq¹,

Rahim²,

Abid³

et al. 2020

IJITEE

View full text Add to dashboard Cite

Humans use language in order to communicate between one another. There exist a number of languages which are either spoken or written. Among these languages, there exists a special type of language called Sign Language (SL). Sign language is a general term which includes any kind of gestural language that makes use of signs and gestures to convey message. Although the deaf community feels comfortable while using Sign Language as their mode of communication, but they face a lot of problems as well. Therefore, in order to help and assist the deaf community a repository of different sign languages are essential for each sign language. This work presents a process to develop a repository by collecting and validating sign language gestures of any language by involving the deaf community and language experts. A small data collection based on a proof-of-concept application has also been presented in this work. Lastly, it highlights the benefits of such corpus by discussing possible applications that can be built to serve the deaf community of the world at large.

show abstract

Automatic translation of Arabic text-to-Arabic sign language

Cited by 69 publications

References 26 publications

Development of arabic sign language dictionary using 3D avatar technologies

Development of arabic sign language dictionary using 3D avatar technologies

A Crowdsourcing-Based Framework for the Development and Validation of Machine Readable Parallel Corpus for Sign Languages

A Process to Develop Sign Language Corpus using Crowdsourcing

Contact Info

Product

Resources

About