Word segmentation of output response for sign language devices
Segmentation is an important aspect of translating finger spelling of sign language into Latin alphabets. Although the sign language devices that are currently available can translate the finger spelling into alphabets, there is a limitation where the output is stored in a long continuous string wit...
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| Format: | Article |
| Language: | English English |
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International Islamic University Malaysia-IIUM
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82021/ http://irep.iium.edu.my/82021/1/82021_Word%20segmentation%20of%20output%20response_pdf.pdf http://irep.iium.edu.my/82021/2/82021_Word%20segmentation%20of%20output%20response_SCOPUS.pdf |
| _version_ | 1848789224147386368 |
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| author | Za'bah, Nor Farahidah Muhammad Nazmi, Ahmad Amierul Asyraf Azman, Amelia Wong |
| author_facet | Za'bah, Nor Farahidah Muhammad Nazmi, Ahmad Amierul Asyraf Azman, Amelia Wong |
| author_sort | Za'bah, Nor Farahidah |
| building | IIUM Repository |
| collection | Online Access |
| description | Segmentation is an important aspect of translating finger spelling of sign language into Latin alphabets. Although the sign language devices that are currently available can translate the finger spelling into alphabets, there is a limitation where the output is stored in a long continuous string without spaces between words. The system proposed in this work is meant to be used together with a text generating glove device. The system used text input string and the string is then fed into the system, one character at a time, and then it is segmented into words that is semantically correct. The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. Based on the results, the system is able to properly segment words with acceptable accuracy. |
| first_indexed | 2025-11-14T17:53:19Z |
| format | Article |
| id | iium-82021 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:53:19Z |
| publishDate | 2020 |
| publisher | International Islamic University Malaysia-IIUM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-820212020-08-10T03:42:04Z http://irep.iium.edu.my/82021/ Word segmentation of output response for sign language devices Za'bah, Nor Farahidah Muhammad Nazmi, Ahmad Amierul Asyraf Azman, Amelia Wong TK Electrical engineering. Electronics Nuclear engineering TK7885 Computer engineering Segmentation is an important aspect of translating finger spelling of sign language into Latin alphabets. Although the sign language devices that are currently available can translate the finger spelling into alphabets, there is a limitation where the output is stored in a long continuous string without spaces between words. The system proposed in this work is meant to be used together with a text generating glove device. The system used text input string and the string is then fed into the system, one character at a time, and then it is segmented into words that is semantically correct. The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. Based on the results, the system is able to properly segment words with acceptable accuracy. International Islamic University Malaysia-IIUM 2020-07-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82021/1/82021_Word%20segmentation%20of%20output%20response_pdf.pdf application/pdf en http://irep.iium.edu.my/82021/2/82021_Word%20segmentation%20of%20output%20response_SCOPUS.pdf Za'bah, Nor Farahidah and Muhammad Nazmi, Ahmad Amierul Asyraf and Azman, Amelia Wong (2020) Word segmentation of output response for sign language devices. IIUM Engineering Journal, 21 (2). pp. 153-163. ISSN 1511-788X E-ISSN 2289-7860 https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1408 10.31436/iiumej.v21i2.1408 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK7885 Computer engineering Za'bah, Nor Farahidah Muhammad Nazmi, Ahmad Amierul Asyraf Azman, Amelia Wong Word segmentation of output response for sign language devices |
| title | Word segmentation of output response for sign language devices |
| title_full | Word segmentation of output response for sign language devices |
| title_fullStr | Word segmentation of output response for sign language devices |
| title_full_unstemmed | Word segmentation of output response for sign language devices |
| title_short | Word segmentation of output response for sign language devices |
| title_sort | word segmentation of output response for sign language devices |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK7885 Computer engineering |
| url | http://irep.iium.edu.my/82021/ http://irep.iium.edu.my/82021/ http://irep.iium.edu.my/82021/ http://irep.iium.edu.my/82021/1/82021_Word%20segmentation%20of%20output%20response_pdf.pdf http://irep.iium.edu.my/82021/2/82021_Word%20segmentation%20of%20output%20response_SCOPUS.pdf |