Abstract:
The deaf and hearing-impaired make up a considerable percentage of the world
community having some essential needs that researchers have recently begun to
target. There is no such proper way to communicate with deaf society instead of
learning sign language. Sign language is a natural language that can be used as a
powerful weapon for communicating with deaf society. The target objective of the
research is to propose a Generic Architectural model to bridge the communication
gap between deaf and non-deaf people. In the desertion, this problem was tackled
by presenting the "Architectural model for Text to Sign Language Interpreter"
system to translate text into any given Sign Language. Language parser Handler
service is introduced as an API Contract. This Language parser Handler service
acts as an abstraction layer for the backend services which are doing the NLP
processing. Any researcher interested in translating sign language from a text
can use this proposed model. A new language can be introduced to the model
with minimum congurations. Instead of developing the entire model they just
need to focus on the actual Language processing part. It should be a RESTFul
microservice. This model can be used to test their API
In a nutshell, the Language-specic parser service does the following. First,
the individual words are extracted by tokenizing the input sentence. The morpho-
logical analysis is then performed to identify the basic elements of the respective
words. Basic components can be a sign stem, sign marker, or ngerspelling char-
acters. After that, the identied basic word components (stream of tokens) are
sent back to the client-side as a JSON string.
The primary tokens are extracted from the JSON output. Then the tokens are
mapped with the corresponding SiGML les which are forwarded to the signing
avatar embedded in the client UI. The nal output is made by the signing avatar
model which gives a stream of sign frames.
Citation:
Liyanapathirana, L.P.M.B. (2022). Architectural model for text to sign language interpreter (TSLI) [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22514