RUMLEM: A Dictionary-Based Lemmatizer for Romansh
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Abstract (arXiv)
Lemmatization -- the task of mapping an inflected word form to its dictionary form -- is a crucial component of many NLP applications. In this paper, we present RUMLEM, a lemmatizer that covers the five main varieties of Romansh as well as the supra-regional standard variety Rumantsch Grischun. It is based on comprehensive, community-driven morphological databases for Romansh, enabling RUMLEM to cover 77-84% of the words in a typical Romansh text. Since there is a dedicated database for each Romansh variety, an additional application of RUMLEM is variety-aware language classification. Evaluation on 30'000 Romansh texts of varying lengths shows that RUMLEM correctly identifies the variety in 95% of cases. In addition, a proof of concept demonstrates the feasibility of Romansh vs. non-Romansh language classification based on the lemmatizer.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 20 references that are in the map. First posted on arXiv 13 Apr 2026.
Builds on
8 of 20 references.
References · 8
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
- 2019The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflectioncited by 43
- 2020Unsupervised Morphological Paradigm Completioncited by 8
- 2020The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completioncited by 4
- 2023Does mBERT understand Romansh? Evaluating word embeddings using word alignmentcited by 3
- 2025The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbookscited by 3
- 2023Lexicon and Rule-based Word Lemmatization Approach for the Somali Languagecited by 2
- 2026Robust Language Identification for Romansh Varietiescited by 2
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Citing papers per year: 2026: 1.
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