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Description
  • This paper presents an effective method for evaluation of the rational kernels represented by finite-state automata. The described algorithm is optimized for processing speed and thus facilitates the usage of state-of-the-art machine learning techniques like Support Vector Machines even in the real-time application of speech and language processing, such as dialogue systems and speech retrieval engines. The performance of the devised algorithm was tested on a spoken language understanding task and the results suggest that it consistently outperforms the baseline algorithm presented in the related literature.
  • This paper presents an effective method for evaluation of the rational kernels represented by finite-state automata. The described algorithm is optimized for processing speed and thus facilitates the usage of state-of-the-art machine learning techniques like Support Vector Machines even in the real-time application of speech and language processing, such as dialogue systems and speech retrieval engines. The performance of the devised algorithm was tested on a spoken language understanding task and the results suggest that it consistently outperforms the baseline algorithm presented in the related literature. (en)
Title
  • Efficient algorithm for rational kernel evaluation in large lattice sets
  • Efficient algorithm for rational kernel evaluation in large lattice sets (en)
skos:prefLabel
  • Efficient algorithm for rational kernel evaluation in large lattice sets
  • Efficient algorithm for rational kernel evaluation in large lattice sets (en)
skos:notation
  • RIV/49777513:23520/13:43919662!RIV14-GA0-23520___
http://linked.open...avai/riv/aktivita
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  • P(GBP103/12/G084)
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  • 72057
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  • RIV/49777513:23520/13:43919662
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  • Support Vector Machines; Natural language processing; Kernels; Finite-state machines (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B361E1F2D39E]
http://linked.open...v/mistoKonaniAkce
  • Vancouver, BC, Canada
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  • New York
http://linked.open...i/riv/nazevZdroje
  • Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
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  • Ircing, Pavel
  • Švec, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1520-6149
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICASSP.2013.6638235
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  • IEEE
https://schema.org/isbn
  • 978-1-4799-0356-6
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  • 23520
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