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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15482852
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

LeTTuce PoS-Tagger: A Sprout of Innovation in Multilingual NLP

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

LeTTuce PoS-Tagger: A Sprout of Innovation in Multilingual NLP

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Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Ghent University Hospital (BE)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Natural Language Processing Techniques
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LeTTuce PoS-Tagger: A Sprout of Innovation in Multilingual NLP · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS