Cross-lingual tagger evaluation without test data

Zeljko Agic, Barbara Plank, Anders Søgaard

4 Citationer (Scopus)

Abstract

We address the challenge of cross-lingual POS tagger evaluation in absence of manually annotated test data. We put forth and evaluate two dictionary-based metrics. On the tasks of accuracy prediction and system ranking, we reveal that these metrics are reliable enough to approximate test set-based evaluation, and at the same time lean enough to support assessment for truly low-resource languages.

OriginalsprogEngelsk
TitelProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics : short papers
Antal sider6
Vol/bind2
ForlagAssociation for Computational Linguistics
Publikationsdato2017
Sider248-253
ISBN (Elektronisk)9781510838604
StatusUdgivet - 2017
Begivenhed15th Conference of the European Chapter of the Association for Computational Linguistics - Valencia, Spanien
Varighed: 3 apr. 20177 apr. 2017
Konferencens nummer: 15

Konference

Konference15th Conference of the European Chapter of the Association for Computational Linguistics
Nummer15
Land/OmrådeSpanien
ByValencia
Periode03/04/201707/04/2017

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