TR96-30

Parsing with Finite-State Transducers


    •  Emmanuel Roche, "Parsing with Finite-State Transducers", Tech. Rep. TR96-30, Mitsubishi Electric Research Laboratories, Cambridge, MA, November 1996.
      BibTeX TR96-30 PDF
      • @techreport{MERL_TR96-30,
      • author = {Emmanuel Roche},
      • title = {Parsing with Finite-State Transducers},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR96-30},
      • month = nov,
      • year = 1996,
      • url = {https://www.merl.com/publications/TR96-30/}
      • }
Abstract:

Accurately parsing natural language sentences requires large scale and detailed lexical grammars. We will see that for the problem of parsing natural language sentences, finite-state models are not an efficient but somewhat inaccurate tool but rather one of the best formalism to represent accurately complex linguistic phenomena. Finite-state transducers should appeal to the linguist looking for precise and natural description of complex syntactic structures while the wide range of formal operations on finite-state transducers provides the designer of parsing programs with powerful tools to improve parsing efficiency. The parsing programs derived from this approach are both simple, precise linguistically and very efficient.