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Evaluation of Three Welsh Language POS Taggers

Proceedings of the 4th Celtic Language Technology Workshop within LREC2022

DOI:10.63317/269nhbv9vs23

Abstract

In this paper we describe our quantitative and qualitative evaluation of three Welsh language Part of Speech (POS) taggers. Following an introductory section, we explore some of the issues which face POS taggers, discuss the state of the art in English language tagging, and describe the three Welsh language POS taggers that will be evaluated in this paper, namely WNLT2, CyTag and TagTeg. In section 3 we describe the challenges involved in evaluating POS taggers which make use of different tagsets, and introduce our mapping of the taggers’ individual tagsets to an Intermediate Tagset used to facilitate their comparative evaluation. Section 4 introduces our benchmarking corpus as an important component of our methodology. In section 5 we describe how the inconsistencies in text tokenization between the different taggers present an issue when undertaking such evaluations, and discuss the method used to overcome this complication. Section 6 illustrates how we annotated the benchmark corpus, while section 7 describes the scoring method used. Section 8 provides an in-depth analysis of the results, and a summary of the work is presented in the conclusion found in section 9. Keywords: POS Tagger, Welsh, Evaluation, Machine Learning

Details

Paper ID
lrec2022-ws-cltw-05
Pages
pp. 30-39
BibKey
prys-watkins-2022-evaluation
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
Location
undefined, undefined
Date
20 June 2022 25 June 2022

Authors

  • GP

    Gruffudd Prys

  • GW

    Gareth Watkins

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