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
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
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article

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

Ghent University Academic Bibliography (Ghent University)
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.

Ghent University Academic Bibliography (Ghent University)
Ghent University Hospital (BE)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Natural Language Processing Techniques
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LeTTuce PoS-Tagger: A Sprout of Innovation in Multilingual NLP · Ghent University Academic Bibliography (Ghent University) (2025) | TGRS Research Map | TGRS