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Neural morphosyntactic tagging for Rusyn

Published online by Cambridge University Press:  18 July 2019

Yves Scherrer Open the ORCID record for Yves Scherrer [Opens in a new window]  and
Achim Rabus Open the ORCID record for Achim Rabus [Opens in a new window]
Yves Scherrer*
Affiliation:
Department of Digital Humanities, University of Helsinki, Unioninkatu 40, Helsinki, 00014, Finland
Achim Rabus
Affiliation:
Slavisches Seminar, Albert-Ludwigs-Universität Freiburg, Werthmannstr. 14, 79098 Freiburg, Germany
*
*Corresponding author. Email: yves.scherrer@helsinki.fi
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Abstract

The paper presents experiments on part-of-speech and full morphological tagging of the Slavic minority language Rusyn. The proposed approach relies on transfer learning and uses only annotated resources from related Slavic languages, namely Russian, Ukrainian, Slovak, Polish, and Czech. It does not require any annotated Rusyn training data, nor parallel data or bilingual dictionaries involving Rusyn. Compared to earlier work, we improve tagging performance by using a neural network tagger and larger training data from the neighboring Slavic languages. We experiment with various data preprocessing and sampling strategies and evaluate the impact of multitask learning strategies and of pretrained word embeddings. Overall, while genre discrepancies between training and test data have a negative impact, we improve full morphological tagging by 9% absolute micro-averaged F1 as compared to previous research.

Keywords

MorphologyTaggingPart-of-speech taggingMultilingualityTransfer learningMultitask learning
Type
Article
Information
Natural Language Engineering , Volume 25 , Special Issue 5: Natural Language Processing for Similar Languages, Varieties and Dialects , September 2019 , pp. 633 - 650
Copyright
© Cambridge University Press 2019 

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