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    Building a Sinhala-English Parallel Corpus for Neural Machine Translation Based on Exam Questions

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    Date
    2021
    Author
    Rilfi, MRM
    Gunawansha, UGYM
    Prasandika, KAC
    Chandrani, KGA
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    Abstract
    In any neural machine translation between two natural languages, parallel corpus is a compulsory part of the training process. The most crucial step in an MT system is to develop an effective method for gathering parallel corpus. The construction of a parallel corpus, on the other hand, necessitates substantial knowledge of both languages and is a time-consuming procedure. Due to these limits, digitizing documents becomes extremely challenging, lowering the quality of machine translation systems. This research offers a method for producing an English to Sinhala parallel corpus that is both faster and more efficient, while requiring less human intervention. This system generates a parallel corpus for language pair using the following steps: scanning the exam question papers using a special type of scanner, Image optimization for Optical Character Recognition (OCR), text extraction from images and converting unstructured text into structured form as parallel corpus.
    URI
    http://ir.kdu.ac.lk/handle/345/5248
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    • Computing [62]

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