NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918028961120256 |
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| author | Tomaszewska, Aleksandra Czerski, Dariusz Żuk, Bartosz Ogrodniczuk, Maciej |
| author_facet | Tomaszewska, Aleksandra Czerski, Dariusz Żuk, Bartosz Ogrodniczuk, Maciej |
| contents | NeoN, a tool for detecting and analyzing Polish neologisms. Unlike traditional dictionary-based methods requiring extensive manual review, NeoN combines reference corpora, Polish-specific linguistic filters, an LLM-driven precision-boosting filter, and daily RSS monitoring in a multi-layered pipeline. The system uses context-aware lemmatization, frequency analysis, and orthographic normalization to extract candidate neologisms while consolidating inflectional variants. Researchers can verify candidates through an intuitive interface with visualizations and filtering controls. An integrated LLM module automatically generates definitions and categorizes neologisms by domain and sentiment. Evaluations show NeoN maintains high accuracy while significantly reducing manual effort, providing an accessible solution for tracking lexical innovation in Polish. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15426 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish Tomaszewska, Aleksandra Czerski, Dariusz Żuk, Bartosz Ogrodniczuk, Maciej Computation and Language NeoN, a tool for detecting and analyzing Polish neologisms. Unlike traditional dictionary-based methods requiring extensive manual review, NeoN combines reference corpora, Polish-specific linguistic filters, an LLM-driven precision-boosting filter, and daily RSS monitoring in a multi-layered pipeline. The system uses context-aware lemmatization, frequency analysis, and orthographic normalization to extract candidate neologisms while consolidating inflectional variants. Researchers can verify candidates through an intuitive interface with visualizations and filtering controls. An integrated LLM module automatically generates definitions and categorizes neologisms by domain and sentiment. Evaluations show NeoN maintains high accuracy while significantly reducing manual effort, providing an accessible solution for tracking lexical innovation in Polish. |
| title | NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2505.15426 |