mlsanityData to 14 Oct 2026

Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography

arXiv 2107.03266 ↗First posted 7 Jul 2021cs.CLcited by 5

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Abstract (arXiv)

Texts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century. There have been several projects in Finland that have digitized old publications and made them available for research use. However, using modern NLP methods in such data poses great challenges. In this paper we propose an approach for simultaneously normalizing and lemmatizing Old Literary Finnish into modern spelling. Our best model reaches to 96.3% accuracy in texts written by Agricola and 87.7% accuracy in other contemporary out-of-domain text. Our method has been made freely available on Zenodo and Github.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 9 of its 37 references that are in the map. First posted on arXiv 7 Jul 2021.

Builds on

9 of 37 references.

References · 9

  1. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,026
  2. 2017OpenNMT: Open-source Toolkit for Neural Machine Translationcited by 251
  3. 2019A Large-Scale Comparison of Historical Text Normalization Systemscited by 25
  4. 2019Let's FACE it. Finnish Poetry Generation with Aesthetics and Framingcited by 11
  5. 2020An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnishcited by 9
  6. 2016Improving historical spelling normalization with bi-directional LSTMs and multi-task learningcited by 8
  7. 2018Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distancecited by 5
  8. 2017To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Taggingcited by 4
  9. 2021From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letterscited by 4

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Citing papers per year: 2021: 2; 2022: 0; 2023: 2; 2024: 1.

5 papers.