Japanese morphological analyzer on .NET
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Updated
Mar 30, 2024 - C#
Japanese morphological analyzer on .NET
Example usage of the python wrappers for MeCab Japanese parser in MacOSX.
Japanese NLP. Created Date: 17 July 2019
RcppJagger is a wrapper package for Jagger
Synthetic Japanese business email generator for ML training data
In modern international business, conversations often shift between languages. Transcript AI bridges this gap by utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to ensure no context is lost in translation. It doesn't just transcribe; it understands business intent.
jp-zh-max: 日译汉翻译 Claude Code Skill — Japanese→Chinese translation with 20 distilled skills from Gao Ning textbook
Micro service to add furiganas to kanji text
Browser-based PII redaction for Japanese resumes and CVs. Combines regex, dictionary, heuristics, and AI detection — no data leaves your device.
nlp4j-local-search
高度な言語学的フィルタリングで推論・感情語・構造語を除外し、テキストの核心的内容を抽出する日本語テキストマイニングツール。
Japanese semantic understanding engine for LLM, RAG, SNS analysis, and AI agents ? dependency-free tokenizer + Plutchik emotion + intent + RAG keywords.
MCP server for jpi-guard (prompt injection detection) and PII Guard (Japanese PII masking)
Personal collection of examples and tests of libraries and how to use them. Dummy code dump folder.
Japanese disaster-focused question answering system : Utilizing the bert-base-japanese-v3 + Bi-LSTM + Enhanced Position Heads ultimate architecture, achieving 70.4% End Position accuracy. The combination of Japanese BERT optimization and Bi-LSTM contextual understanding realizes accuracy levels suitable for real disaster response.
Japanese text converter with hiragana, katakana, and romaji conversion modes, featuring text-to-speech and persistent history using React and Kuroshiro
A deterministic, 8-bit alternative to statistical sub-word tokenizers like BPE. Maps language to the physical rules of phonotactics to eliminate massive active embedding tables, maximize sequence information density, and optimize pre-training storage pipelines with the .pvb format.
AI Text Slop: A Quantitative Study of Stylistic Convergence Across Six Language Models in Japanese Technical Writing
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