NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 8 of its 38 references that are in the map. First posted on arXiv 21 May 2025.
Builds on
8 of 38 references.
References · 8
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
- 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,330
- 2023Large Language Modelscited by 780
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
- 2023Large Language Models are Effective Text Rankers with Pairwise Ranking Promptingcited by 307
- 2023Split and Merge: Aligning Position Biases in LLM-based Evaluatorscited by 72
- 2024NEO-BENCH: Evaluating Robustness of Large Language Models with Neologismscited by 20
- 2018The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Wordscited by 1
Built on by
Citing papers per year: 2026: 3.
3 papers.
- 2026Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologismscited by 1
- 2026From 124 Million Tokens to 1,021 Neologisms: A Large-Scale Pipeline for Automatic Neologism Detectioncited by 1
- 2026Do LLMs Know What Luxembourgish Borrows? Probing Lexical Neology in Low-Resource Multilingual Modelscited by 0
- 2026Do LLMs Know What Luxembourgish Borrows? Probing Lexical Neology in Low-Resource Multilingual Models20 May 2026
- 2026From 124 Million Tokens to 1,021 Neologisms: A Large-Scale Pipeline for Automatic Neologism Detection7 May 2026
- 2026Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms26 Apr 2026