mlsanityData to 13 Oct 2026

Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered

arXiv 2105.12428 ↗First posted 26 May 2021cs.CLcited by 5

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Abstract (arXiv)

We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages. We present a method for automatically extracting substantially large amount of training data from FSTs for 22 languages, out of which 17 are endangered. The neural models follow the same tagset as the FSTs in order to make it possible to use them as fallback systems together with the FSTs. The source code, models and datasets have been released on Zenodo.

Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). Builds on 9 of its 43 references that are in the map. First posted on arXiv 26 May 2021.

Builds on

9 of 43 references.

References · 9

  1. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,025
  2. 2017OpenNMT: Open-source Toolkit for Neural Machine Translationcited by 251
  3. 2018UniMorph 2.0: Universal Morphologycited by 40
  4. 2021Endangered Languages are not Low-Resourced!cited by 14
  5. 2019Improving Lemmatization of Non-Standard Languages with Joint Learningcited by 12
  6. 2019Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Taggingcited by 12
  7. 2018Universal Word Segmentation: Implementation and Interpretationcited by 10
  8. 2019A Simple Joint Model for Improved Contextual Neural Lemmatizationcited by 7
  9. 2020Neural disambiguation of lemma and part of speech in morphologically rich languagescited by 1

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 1; 2026: 1.

5 papers.

  1. 2024Recent advancements in computational morphology : A comprehensive surveycited by 2
  2. 2025Evaluating OpenAI GPT Models for Translation of Endangered Uralic Languages: A Comparison of Reasoning and Non-Reasoning Architecturescited by 2
  3. 2026SampoNLP: A Self-Referential Toolkit for Morphological Analysis of Subword Tokenizerscited by 2
  4. 2023Sentiment Analysis Using Aligned Word Embeddings for Uralic Languagescited by 1
  5. 2024Leveraging Transformer-Based Models for Predicting Inflection Classes of Words in an Endangered Sami Languagecited by 0