Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/66649
Title: English sentence unit detection based on text features
Authors: Stephanie
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2016
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.
URI: http://hdl.handle.net/10356/66649
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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