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Filters for Efficient Composition of Weighted Finite-State Transducers

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Implementation and Application of Automata (CIAA 2010)

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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 speech-processing applications. The generalized composition algorithm and many of these filters have been included in OpenFst, an open-source weighted transducer library.

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References

  1. Allauzen, C., Mohri, M., Rastogi, A.: General algorithms for testing the ambiguity of finite automata. In: Ito, M., Toyama, M. (eds.) DLT 2008. LNCS, vol. 5257, pp. 108–120. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Allauzen, C., Mohri, M., Riley, M.: Statistical modeling for unit selection in speech synthesis. In: Proc. ACL, pp. 55–62 (2004)

    Google Scholar 

  3. Allauzen, C., Riley, M., Schalkwyk, J., Skut, W., Mohri, M.: OpenFst: A general and efficient weighted finite-state transducer library. In: Holub, J., Žďárek, J. (eds.) CIAA 2007. LNCS, vol. 4783, pp. 11–23. Springer, Heidelberg (2007), http://www.openfst.org

    Chapter  Google Scholar 

  4. Booth, K., Lueker, G.: Testing for the consecutive ones property, interval graphs, and graph planarity using pq-tree algorithms. J. of Computer and System Sci. 13, 335–379 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  5. Caseiro, D., Trancoso, I.: A specialized on-the-fly algorithm for lexicon and language model composition. IEEE Trans. on Audio, Speech and Lang. Proc. 14(4), 1281–1291 (2006)

    Article  Google Scholar 

  6. Cheng, O., Dines, J., Doss, M.: A generalized dynamic composition algorithm of weighted finite state transducers for large vocabulary speech recognition. In: Proc. ICASSP, vol. 4, pp. 345–348 (2007)

    Google Scholar 

  7. Dom, M., Niedermeier, R.: The search for consecutive ones submatrices: Faster and more general. In: Proc. ACID, pp. 43–54 (2007)

    Google Scholar 

  8. Habib, M., McConnell, R., Paul, C., Viennot, L.: Lex-BFS and partition refinement with applications to transitive orientation, interval graph recognition and consecutive ones testing. Theor. Comput. Sci. 234, 59–84 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  9. Hsu, W.-L., McConnell, R.: PC trees and circular-ones arrangements. Theor. Comput. Sci. 296(1), 99–116 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  10. McDonough, J., Stoimenov, E., Klakow, D.: An algorithm for fast composition of weighted finite-state transducers. In: Proc. ASRU (2007)

    Google Scholar 

  11. Meidanis, J., Porto, O., Telles, G.: On the consecutive ones property. Discrete Appl. Math. 88, 325–354 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  12. Mohri, M.: Semiring frameworks and algorithms for shortest-distance problems. Journal of Automata, Languages and Combinatorics 7(3), 321–350 (2002)

    MathSciNet  MATH  Google Scholar 

  13. Mohri, M., Pereira, F., Riley, M.: Speech recognition with weighted finite-state transducers. In: Jacob Benesty, Y.H., Sondhi, M. (eds.) Handbook of Speech Processing, pp. 559–582. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  14. Oonishi, T., Dixon, P., Iwano, K., Furui, S.: Implementation and evaluation of fast on-the-fly WFST composition algorithms. In: Proc. Interspeech, pp. 2110–2113 (2008)

    Google Scholar 

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Allauzen, C., Riley, M., Schalkwyk, J. (2011). Filters for Efficient Composition of Weighted Finite-State Transducers. In: Domaratzki, M., Salomaa, K. (eds) Implementation and Application of Automata. CIAA 2010. Lecture Notes in Computer Science, vol 6482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18098-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-18098-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18097-2

  • Online ISBN: 978-3-642-18098-9

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