English to pakistan sign language - machine translation
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Date
2016
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UMT.Lahore
Abstract
In this thesis a Text to Pakistan Sign Language Automation System has been proposed. To conquer any hindrance between deaf and an ordinary individual, we need to think of a framework which can make an interpretation of one dialect to another. Till now interpreters were doing this work for us however now we are going to mechanize it as a result of constrained assets. Keeping in perspective the difference of sentence structure, there is a need to study Pakistan Sign Language's sentence structure with the goal that we could make an interpretation of as per the PSL linguistic use. Without linguistic use, sentences can't pass on their appropriate implications. In the wake of archiving the punctuation we now need to mechanize the capacity of changing over English sentence into its Pakistan Sign Language proportional sentence. For this we have proposed a system which takes an English sentence as an input and will produce its comparable Pakistan Sign Language's sentence. Our proposed framework uses a few tools which parse the offered sentence to give English language lexicons along with their parts of speech and dependency tags, in the form of a tree. The yielded tree, alongside our documented sentence structure is passed to our proposed parser which then change the given tree hubs in light of those linguistic use rules. Last but not the least a PSL sentence is created from the modified tree.