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Article . 2022 . Peer-reviewed
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BabyLemmatizer : A Lemmatizer and POS-tagger for Akkadian

Authors: Sahala Aleksi; Valk Jonathan; Linden Krister; Alstola Tero;

BabyLemmatizer : A Lemmatizer and POS-tagger for Akkadian

Abstract

We present a hybrid lemmatizer and POS-tagger for Akkadian, the language of the ancient Assyrians and Babylonians, documented from 2350 BCE to 100 CE. In our approach the text is first POS-tagged and lemmatized with TurkuNLP trained with human-verified labels, and then post-corrected with dictionary-based methods to improve the lemmatization quality. The post-correction also assigns labels with confidence scores to flag the most suspicious lemmatizations for manual validation. We demonstrate that the presented tool achieves a Lemma+POS labeling accuracy of 94%, and a lemmatization accuracy of 95% in a held-out test set.

Peer reviewed

Country
Finland
Related Organizations
Keywords

Computer and information sciences, Languages

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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