Result: PYHFST: A Pure Python Implementation of HFST
Title:
PYHFST: A Pure Python Implementation of HFST
Authors:
Contributors:
Rootroo Ltd, Helsinki Metropolia University of Applied Sciences
Source:
Lightning Proceedings of NLP4DH and IWCLUL 2023. :32-35
Publisher Information:
HAL CCSD, 2023.
Publication Year:
2023
Subject Terms:
Subject Geographic:
Original Identifier:
HAL: hal-04429719
Document Type:
Conference
conferenceObject<br />Conference papers
Language:
English
ISBN:
978-952-65-3690-3
Access URL:
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by/
URL: http://creativecommons.org/licenses/by/
Accession Number:
edshal.hal.04429719v1
Database:
HAL
Further Information
In this paper, we describe our work on reimplementing HFST optimized lookup on Python. Our tool is called PYHFST and it is available on GitHub (https:// github.com/Rootroo-ltd/pyhfst), PyPi (https://pypi.org/ project/pyhfst/) and Zenodo (https://zenodo.org/ records/7791470).