HFST—Framework for Compiling and Applying Morphologies

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

HFST–Helsinki Finite-State Technology ( hfst.sf.net ) is a framework for compiling and applying linguistic descriptions with finite-state methods. HFST currently connects some of the most important finite-state tools for creating morphologies and spellers into one open-source platform and supports extending and improving the descriptions with weights to accommodate the modeling of statistical information. HFST offers a path from language descriptions to efficient language applications in key environments and operating systems. HFST also provides an opportunity to exchange transducers between different software providers in order to get the best out of each finite-state library.
Original languageEnglish
Title of host publicationSystems and Frameworks for Computational Morphology
EditorsCerstin Mahlow, Michael Pietrowski
Number of pages18
VolumeVol. 100
PublisherSpringer
Publication date26 Aug 2011
Pages67-85
ISBN (Print)978-3-642-23137-7
DOIs
Publication statusPublished - 26 Aug 2011
MoE publication typeA3 Book chapter

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume100
ISSN (Print)1865-0929

Fields of Science

  • 6121 Languages
  • finite-state methods
  • Morphological analysis
  • Software architecture

Activities

  • 1 Supervisor or co-supervisor of doctoral thesis

Supervisor of doctoral thesis in Language Technology / Miikka Silfverberg

Bo Krister Johan Linden (Supervisor), & Anssi Yli-Jyrä (Supervisor)

1 Jan 201022 Oct 2016

Activity: Examination typesSupervisor or co-supervisor of doctoral thesis

Cite this

Linden, K., Silfverberg, M., Axelson, E., Hardwick, S., & Pirinen, T. (2011). HFST—Framework for Compiling and Applying Morphologies. In C. Mahlow, & M. Pietrowski (Eds.), Systems and Frameworks for Computational Morphology (Vol. Vol. 100, pp. 67-85). (Communications in Computer and Information Science; Vol. 100). Springer. https://doi.org/10.1007/978-3-642-23138-4_5