Filters for efficient composition of weighted finite-state transducers

  • Authors:
  • Cyril Allauzen;Michael Riley;Johan Schalkwyk

  • Affiliations:
  • Google Research, New York, NY;Google Research, New York, NY;Google Research, New York, NY

  • Venue:
  • CIAA'10 Proceedings of the 15th international conference on Implementation and application of automata
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a weighted finite-state transducer composition algorithm that generalizes the concept of the composition filter and presents various filters that process epsilon transitions, look-ahead along paths, and push forward labels along epsilon paths. These filters, either individually or in combination, make it possible to compose some transducers much more efficiently in time and space than otherwise possible. We present examples of this drawn, in part, from demanding speechprocessing applications. The generalized composition algorithm and many of these filters have been included in OpenFst, an open-source weighted transducer library.