<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The automated induction of inflection rules is an important research area for computational linguistics. In this paper, we present a novel morphological rule induction model called B-Morpher that can be used for both inflection analysis and morphological analysis. The core element of the engine is a modified Bayes classifier in which class categories correspond to general string transformation rules. Beside the core classification module, the engine contains a neural network module and verification unit to improve classification accuracy. For the evaluation, beside the large Hungarian dataset the tests include smaller non-Hungarian datasets from the SIGMORPHON shared task pools. Our evaluation shows that the efficiency of B-Morpher is comparable with the best results, and it outperforms the state-of-theart base models for some languages. The proposed system can be characterized by not only high accuracy, but also short training time and small knowledge base size.</p>
</abstract>

The automated induction of inflection rules is an important research area for computational linguistics. In this paper, we present a novel morphological rule induction model called B-Morpher that can be used for both inflection analysis and morphological analysis. The core element of the engine is a modified Bayes classifier in which class categories correspond to general string transformation rules. Beside the core classification module, the engine contains a neural network module and verification unit to improve classification accuracy. For the evaluation, beside the large Hungarian dataset the tests include smaller non-Hungarian datasets from the SIGMORPHON shared task pools. Our evaluation shows that the efficiency of B-Morpher is comparable with the best results, and it outperforms the state-of-theart base models for some languages. The proposed system can be characterized by not only high accuracy, but also short training time and small knowledge base size.

B-Morpher: Automated Learning of Morphological Language Characteristics for Inflection and Morphological Analysis

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The automated induction of inflection rules is an important research area for computational linguistics. In this paper, we present a novel morphological rule...

B-Morpher: Automated Learning of Morphological Language Characteristics for Inflection and Morphological Analysis

Online veröffentlicht: 10. Nov. 2022

Seitenbereich: 111 - 128

Eingereicht: 01. Apr. 2022

Akzeptiert: 16. Sept. 2022

DOI: https://doi.org/10.2478/cait-2022-0042

Schlüsselwörter
Morphology, Machine learning, Rule induction

© 2022 László Kovács et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

B-Morpher: Automated Learning of Morphological Language Characteristics for Inflection and Morphological Analysis

Online veröffentlicht: 10. Nov. 2022

Seitenbereich: 111 - 128

Eingereicht: 01. Apr. 2022

Akzeptiert: 16. Sept. 2022

DOI: https://doi.org/10.2478/cait-2022-0042

SchlüsselwörterMorphology, Machine learning, Rule induction

© 2022 László Kovács et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Morphology, Machine learning, Rule induction