The construction of a speech understanding application requires a method for extracting language models of appropriate size and perplexity from the application grammar. We describe a method for approximating context-free grammars by finite-state models with a range of sizes and perplexities and present experimental results of its application to a variety of grammars, including a fairly large grammar for a spoken-language translation application.
Cite as: Pereira, F., Roe, D. (1992) Empirical properties of finite state approximations for phrase structure grammars. Proc. 2nd International Conference on Spoken Language Processing (ICSLP 1992), 261-264, doi: 10.21437/ICSLP.1992-74
@inproceedings{pereira92_icslp,
author={Fernando Pereira and David Roe},
title={{Empirical properties of finite state approximations for phrase structure grammars}},
year=1992,
booktitle={Proc. 2nd International Conference on Spoken Language Processing (ICSLP 1992)},
pages={261--264},
doi={10.21437/ICSLP.1992-74}
}