TUNiBrain–Korean Morphological Analyzer
The next-gen Korean morphological analyzer
TUNiBrain–Korean Morphological Analyzer launched on February 4, 2026 with 4 votes, #2,349 of 16,627 launches that month and more than 75% of that year's launches.
What it does
TUNiBrain is a hybrid Korean morphological analyzer that combines deep learning and dictionary-based NLP to understand meaning, not just tokens. It detects proper nouns, disambiguates words like “눈” (eye vs snow), and outputs definitions, senses, and translations for every token. Built with CRF, Bi-LSTM, and semantic dictionaries, it powers more accurate Korean chatbots, search, and LLM pipelines.
TUNiBrain : 한국어 형태소 분석기. Contribute to tunib-ai/tunibrain development by creating an account on GitHub.
한국어 형태소 분석기는 많습니다. 오픈소스로도 다양한 모델이 존재하며, 대표적으로 MeCab-Ko 와 Khaii 가 있습니다. 하지만 기존 모델들은 고유명사 판별, 동형이의어 처리, 사전 결합 등의 기능이 부족한 경우가 많습니다. "나는 에배래스트에서 배를 먹고 왔다" 📌 MeCab-Ko의 결과: ("나는", "NP") ("에배래스트", "NNP") ("에서", "JKB") ("배", "NNG") ("를", "JKO") ("먹", "VV") ("고", "EC") ("왔", "VX") ("다", "EF") (".", "SF") 🏗 1️⃣ TUNiBrowser로 고유명사 탐지 TUNiBank는 MeCab을 학습한 사전으로, 기존 MeCab-Ko보다 더 정밀한 형태소 분석을 수행합니다. [('나', 'NP'), ('는', 'JX'), ('에베래스트', 'NNP'), ('에서', 'JKB'), ('배', 'NNG'), ('를', 'JKO'), ('먹', 'VV'), ('고', 'EC'), ('왔', 'VX'), ('다', 'EF'), ('.', 'SF')] 🎯 3️⃣ TUNiBrush로 동형이의어 판별 및 사전 매핑 [('나', 'NP'), ('는', 'JX'), ('에베레스트', 'NNP'), ('에서', 'JKB'), ('배(과일)', 'NNG'), ('를', 'JKO'), ('먹', 'VV'), ('고', 'EC'), ('왔',…from github.com
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