INTRODUCTION TO CLTK
Contents
INTRODUCTION TO CLTK
¶by
Dr. W.J.B. Mattingly
¶Postdoctoral Fellow at the Smithsonian Institution's Data Science Lab
and
United States Holocaust Memorial Museum
and CLTK Maintainer
Introduction
¶This textbook is designed to work as a primer to the Classical Language Toolkit (CLTK), a Python Library created by Kyle P. Johnson for doing natural language processing on ancient and medieval texts. These documents survive with limited corpora and whose digital editions have numerous technical challenges, including non-standard encoding, high-degree of inflection, and few (if any) native speakers. The CLTK provides solutions to many of these challenges. This textbook will introduce you to the key concepts and ideas behind the CLTK and provide a clear set of instructions with reproducible code.
Acknowledgments
¶This Python Textbook was created during my postdoctoral fellowship at the Smithsonian Institution’s Data Science Lab with collaboration at the United States Holocaust Memorial Museum. It would not have been possible without the help of Rebecca Dikow, Mike Trizna, and those in the Data Science Lab who listened to, aided, and advised me while creating these notebooks. I would also like to thank the content experts at the USHMM, specifically Michael Haley Goldman, Michael Levy, and Robert Ehrenreich.
