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Physical SciencesComputer ScienceArtificial Intelligence

GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
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Paper Summary
Conflicts of Interest
Identified Weaknesses
Rating Explanation
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Paper Summary
Paperzilla title
This Toolkit Speaks Greek (and Greeklish!) Better Than the Competition
This paper introduces GR-NLP-TOOLKIT, an open-source NLP toolkit for Modern Greek. It achieves state-of-the-art results in POS tagging, morphological tagging, dependency parsing, named entity recognition, and Greeklish-to-Greek transliteration, outperforming existing tools like SPACY and STANZA.
Possible Conflicts of Interest
The authors acknowledge partial support from a project funded by the EU and Google Summer of Code, but no direct financial conflicts related to the toolkit's development or evaluation are apparent.
Identified Weaknesses
Limitations of GREEK-BERT
The reliance on GREEK-BERT for core NLP tasks introduces limitations due to automatic lowercasing and removal of Greek accents, potentially affecting accuracy in tasks sensitive to case and diacritics.
Lack of Code-Switching Support
The Greeklish-to-Greek model does not handle code-switching (mixed Greek and English text), which is common online, limiting its applicability in real-world scenarios.
Limited Evaluation Scope
The evaluation primarily focuses on comparisons with SPACY and STANZA, without extensive benchmarking against other state-of-the-art multilingual models or task-specific Greek NLP systems.
Rating Explanation
The GR-NLP-TOOLKIT demonstrates state-of-the-art performance in several Greek NLP tasks, surpassing existing tools like SPACY and STANZA. The open-source nature and availability of a user-friendly demo and API are valuable contributions. However, the limitations of GREEK-BERT, lack of code-switching support in Greeklish-to-Greek, and limited evaluation scope prevent a higher rating.
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Original Title:
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
File Name:
2025.coling-demos.17.pdf
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File Size:
0.55 MB
Uploaded:
July 17, 2025 at 07:47 PM
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