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Zenz V1

Developed by Miwa-Keita
Japanese Kana-Kanji conversion model optimized based on GPT-2 architecture, specifically designed for Zenzai input method
Downloads 37
Release Time : 5/12/2024

Model Overview

Language model optimized for Kana-Kanji conversion tasks, primarily used in neural network Kana-Kanji conversion system 'Zenzai', employing character-level + byte-level BPE tokenizer

Model Features

Character-level Processing
Uses character-level + byte-level BPE tokenizer, suitable for Japanese Kana-Kanji conversion tasks
Efficient Conversion
Excellent performance with greedy algorithm in Kana-Kanji conversion tasks
Lightweight
90 million parameter scale, maintaining performance while controlling model size

Model Capabilities

Japanese Kana to Kanji Conversion
Japanese Text Conversion
Input Method Support

Use Cases

Input Method
Zenzai Input Method
Serves as the core engine for neural network Kana-Kanji conversion system
Provides efficient Japanese input experience
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