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      English sentence unit detection based on text features

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      Final Year Project Report (2.380Mb)
      Author
      Stephanie
      Date of Issue
      2016
      School
      School of Computer Engineering
      Research Centre
      Emerging Research Lab
      Abstract
      Sentence unit detection in automated speech recognition (ASR) system is crucial for enriching the ASR output, improving the human readability, processing the word stream of the output and bridging the gap between the ASR system with the NLP applications.This thesis presents the machine learning models for sentence unit detection in written text. In this context, sentence unit (SUs) is referred to punctuation marks in the sentence, in which the focus is on adding period (“.”) to the unstructured word sequence.
      Subject
      DRNTU::Engineering::Computer science and engineering
      Type
      Final Year Project (FYP)
      Rights
      Nanyang Technological University
      Collections
      • SCSE Student Reports (FYP/IA/PA/PI)

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