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      Better text compression from fewer lexical n-grams

      Smith, Tony C.; Lorenz, Michelle
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      Better Text Compression from Fewer N-Grams.pdf
      64.76Kb
      DOI
       10.1109/DCC.2001.10047
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      Smith, T.C. & Lorenz, M.(2001). Better text compression from fewer lexical n-grams. In Proceedings of Data Compression Conference (DCC ‘01). Washington, DC, USA: IEEE Computer Society.
      Permanent Research Commons link: https://hdl.handle.net/10289/1722
      Abstract
      Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding data sparseness. These ill-effects can be mitigated in an adaptive lossless compression scheme by modelling syntactic and semantic lexical dependencies independently.
      Date
      2001
      Type
      Conference Contribution
      Publisher
      IEEE Computer Society
      Rights
      This paper has been published in the Proceedings of Data Compression Conference(DCC ‘01). ©2001 IEEE Computer Society.
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      • Computing and Mathematical Sciences Papers [1454]
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