Glossing of American Sign Language (ASL) / Muhammad Arslan Thaheem
Material type:
TextIslamabad : SMME- NUST; 2022Description: 49p. Soft Copy 30cmSubject(s): MS Robotics and Intelligent Machine EngineeringDDC classification: 629.8 Online resources: Click here to access online
| Item type | Current location | Home library | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Thesis
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School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 629.8 (Browse shelf) | Available | SMME-TH-803 |
American Sign Language (ASL) is a sign language used in America with slight
modifications across different regions. Over the years it has developed and included a
lot of new signs in it. In order for the deaf community to take notes and communicate
with common people, ASL glossing is done which is an organized sentence structure of
ASL. The goal of this research is to make a rule-based engine that can convert English
sentences into ASL Gloss. The research included three phases. Firstly, we collected the
English to ASL sentences from different resources including books, websites, etc.
Secondly, we made rule-based engine to standardize the format of glossing. Since there
are no proper set of rules written till now for ASL, we extracted common rules from
sentences collected from different sources and continued our research on the basis of
that. Thirdly, the engine was checked using different English sentences. We were able
to achieve a BLEU score of 20.85 on the test set.
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