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A Hybrid Lemmatiser For Old Church Slavonic

Author

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  • Ilia Afanasev

    (National Research University Higher School of Economics)

Abstract

The article considers a lemmatiser that is developed specifically for Old Church Slavonic (OCS). The introduction underlines the problem of the lack of lemmatisers that might deal with different datasets of the OCS. The review gives a short description of previous attempts and current trends in lemmatisation. The lemmatiser is hybrid-based and uses the advantages of linguistic rules for specific cases (fragmentary tokens, punctuation, or digits), a dictionary for the most common tokens, and a sequence-to-sequence (seq2seq) neural network with an attention mechanism for the rest of material. The model achieves an 85% overall accuracy score, which is lower than one of the previous models for the Universal Dependencies(UD) dataset. However, when specific tokens are taken into consideration, the model outperforms the previous ones with the help of its rule-based part. Possible further directions of the research include the use of more sophisticated architectures, such as BART.

Suggested Citation

  • Ilia Afanasev, 2021. "A Hybrid Lemmatiser For Old Church Slavonic," HSE Working papers WP BRP 106/LNG/2021, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:106/lng/2021
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    File URL: https://wp.hse.ru/data/2021/02/18/1393879077/106LNG2021.pdf
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    More about this item

    Keywords

    lemmatisation; Old Church Slavonic; hybrid approach; natural language processing; seq2seq.;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

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