English sentence unit detection based on text features
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 mode...
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sg-ntu-dr.10356-666492023-03-03T20:44:11Z English sentence unit detection based on text features Stephanie Chng Eng Siong School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Computer science and engineering 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. Bachelor of Engineering (Computer Science) 2016-04-20T04:49:27Z 2016-04-20T04:49:27Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66649 en Nanyang Technological University 48 p. application/pdf |
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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. |
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Chng Eng Siong |
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Chng Eng Siong Stephanie |
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Final Year Project |
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English sentence unit detection based on text features |
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English sentence unit detection based on text features |
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English sentence unit detection based on text features |
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English sentence unit detection based on text features |
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English sentence unit detection based on text features |
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english sentence unit detection based on text features |
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2016 |
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http://hdl.handle.net/10356/66649 |
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