LeTTuce PoS-Tagger: A Sprout of Innovation in Multilingual NLP
This paper introduces LeTTuce, a novel multilingual PoS tagging tool, and evaluates its performance across mutiple languages and data genres and domains (social media, industry reviews, historical texts, technical texts, ...). Furthermore, this research benchmarks traditional and state-of-the-art part-of-speech (PoS) tagging tools for English, French, German, and Dutch across diverse text genres and domains.
Institutions
- Ghent University Hospital (BE)
Publication Details
- Journal
- Ghent University Academic Bibliography (Ghent University)
- Published
- 2025-05-21
- DOI
- https://doi.org/10.5281/zenodo.15482853
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00