jumanpp ☆
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Description:
Japanese Morphological Analyzer based on RNNLM
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Ai ml
Tags: nlp japanese machine-learning text-processing rnn
Install: brew install jumanpp
About:
JUMAN++ is a sophisticated Japanese morphological analyzer that utilizes Recurrent Neural Network Language Models (RNNLM) to achieve high-precision word segmentation and syntactic analysis. Unlike rule-based systems, it leverages machine learning to handle the ambiguity inherent in Japanese text, making it ideal for complex NLP tasks. It is widely used in academic research and production systems requiring accurate linguistic processing.
Key Features:
  • RNN-based statistical modeling for high accuracy
  • Handles unknown words and complex sentence structures effectively
  • Provides detailed part-of-speech tagging and segmentation
  • Highly configurable for domain-specific requirements
Use Cases:
  • Natural Language Processing (NLP) research and development
  • Preprocessing text for machine translation or search engines
  • Information extraction from Japanese documents
  • Chatbot or voice assistant text understanding
Alternatives:
  • MeCab – MeCab is a older, highly popular, and extremely fast rule-based/machine learning hybrid, whereas JUMAN++ focuses on deep learning approaches for potentially higher accuracy on complex sentences.
  • Sudachi – Sudachi provides a modern dictionary and focuses on strict tokenization standards (Mode A/B/C), while JUMAN++ is often preferred for its integration with RNNLM capabilities.
Version History
Detected Version Rev Change Commit
Sep 12, 2025 2:23pm 0 VERSION_BUMP a4dbef90
Nov 18, 2024 2:06pm 0 VERSION_BUMP 1644c8d8
Sep 14, 2024 10:52am 0 VERSION_BUMP 33bd3344
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