自动检测波兰语新词，结合语言规则与大模型分析，大幅减少人工工作量。
NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
- 多层管道：语料库+语言过滤+大模型精炼+每日新闻监控
- 自动生成新词定义与领域情感分类，准确率高且省时
- 适合语言学研究者和关注波兰语演变的用户
NeoN 是一款用于检测与分析波兰语新词的工具。不同于依赖字典、需大量人工审核的传统方法，NeoN 采用多层流水线设计，整合参考语料库、波兰语特有语言过滤器、基于大模型的精度提升模块以及每日 RSS 监控。系统通过上下文感知的词形还原、频率分析与拼写标准化提取候选新词，并合并屈折变体。研究人员可通过直观界面查看可视化结果并进行筛选验证。集成的大模型模块可自动生成新词定义，并按领域与情感进行分类。评估表明，NeoN 在保持高准确性的同时显著降低人工成本，为追踪波兰语词汇创新提供了便捷方案。
原文摘要 · Abstract (English)
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.
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