Advances in Punctuation and Disfluency Prediction
With the advancement of automatic speech recognition (ASR) technology, more and more natural language processing (NLP) applications have been used in our daily life, such as spoken language translation, automatic question answering, speech information retrieval, etc. When dealing with recognized spontaneous speech, several natural problems arise. Firstly, recognized speech does not have punctuation or sentence boundary information. Secondly, spontaneous speech contains disfluency which carries no useful content information. The lack of punctuation and sentence boundary information and the presence of disfluency affect the performance of downs…
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Produktdetails
- ISBN: 978-3-659-91127-9
- EAN: 9783659911279
- Produktnummer: 37581905
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 80 S.
- Masse: H22.0 cm x B15.0 cm x D0.5 cm 137 g
- Abbildungen: Paperback
- Gewicht: 137
Über den Autor
Wang Xuancong graduated as a computer science PhD from National University of Singapore, School of Computing in 2015. He has a very broad interest in science, in particular applied computer science and physics. Visit his website at https://sites.google.com/site/xuancong84/ to learn more about his background and interests.
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