Ensemble lemmatization with the Classical Language Toolkit

Autori

DOI:

https://doi.org/10.4454/ssl.v58i1.273

Parole chiave:

lemmatization, natural language processing, Latin, Classical Language Toolkit

Abstract

Because of the less-resourced nature of historical languages, non-standard solutions are often required for natural language processing tasks. This article introduces one such solution for historical-language lemmatization, that is the Ensemble lemmatizer for the Classical Language Toolkit, an open-source Python package that supports NLP research for historical languages. Ensemble lemmatization is the most recent development at CLTK in the repurposing and refactoring of an existing method designed for one task, specifically the backoff method as used for part-of-speech tagging, for use in a different task, namely lemmatization. This article argues for the benefits of ensemble lemmatization, specifically, flexible tool construction and the use of all available information to reach tagging decisions, and presents two use cases.

Biografia autore

Patrick J Burns, University of Texas at Austin

Postdoctoral Fellow at the Quantitative Criticism Lab

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Pubblicato

2020-09-02

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Articoli