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arXiv · 2404.15003

Comparison of Current Approaches to Lemmatization: A Case Study in Estonian

Aleksei Dorkin·Kairit Sirts
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Abstract

This study evaluates three different lemmatization approaches to Estonian -- Generative character-level models, Pattern-based word-level classification models, and rule-based morphological analysis. According to our experiments, a significantly smaller Generative model consistently outperforms the Pattern-based classification model based on EstBERT. Additionally, we observe a relatively small overlap in errors made by all three models, indicating that an ensemble of different approaches could lead to improvements.

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Aleksei Dorkin, Kairit Sirts. 2024-04-23. Comparison of Current Approaches to Lemmatization: A Case Study in Estonian. https://arxiv.org/abs/2404.15003

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