School of System and Technology (SST)
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Browsing School of System and Technology (SST) by Author "Aamina Khan"
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Item A neural machine translation pipeline for translation of english based sentences to pakistan sign language sentences(UMT Lahore, 2023) Aamina KhanWith the increasing need for communication in universities, organizations and daily life, numerous difficulties are faced by the hearing impaired. Neural Machine Translation (NMT) is a computational linguistics application of deep learning that performs machine translation using artificial neural networks. It predicts the sequence of words as they are translated from one language to another. For a model capable of such translation, extensive datasets containing translated sentences in both languages are used for training purposes. The architecture is built upon encoder decoder structures that perform the actual translation. This translation algorithm is widely used by industries along with the recent development of attention mechanism that enhances the accuracy of the models. In this work, I have developed Pakistan Sign Language (PSL) dataset of approximately 87K sentences and trained it on two different Neural Network Models: Recurrent Neural Network (RNN) and Transformer. The RNN model is given one word at a time and generates one word at each time step. To compare the performances of both the models using distinct word embedding we utilized The Bilingual Evaluation Understudy (BLEU) Score, Word Error Rate (WER). The BLEU score automates the human evaluation process which accelerates the PSL generation. On a scale of 0 to 1, 1 being the closest to human reference translation, it identifies the dissimilarity among human translation and machine translation. When compared it was concluded that Transformer shows slightly better results. The achieve accuracy of Transformer is closer to that of human predictions.Item