We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Artificial Intelligence & Machine Learning/Pynini: A Python library for weighted finite-state grammar compilation
Conference ProceedingsArtificial Intelligence & Machine Learning

Pynini: A Python library for weighted finite-state grammar compilation

2016

Checking your access to this record.

Abstract & Overview

We present Pynini, an open-source library for the compilation of weighted finitestate transducers (WFSTs) and pushdown transducers (PDTs) from strings, contextdependent rewrite rules, and recursive transition networks.Pynini uses the OpenFst library for encoding, modifying, and applying WFSTs and PDTs.We describe the design of this library and the algorithms and interfaces used for compilation, optimization, and application, and provide two illustrations of the library in use.XFST Lextools Carmel Foma Kleene Thrax HFST Pynini Gratis No Yes Yes

Cite this record

Kyle Gorman (2016). Pynini: A Python library for weighted finite-state grammar compilation. https://doi.org/10.18653/v1/w16-2409

Copy in another style

Gorman, K. (2016). Pynini: A Python library for weighted finite-state grammar compilation. https://doi.org/10.18653/v1/w16-2409
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.