Japanese Long-Unit-Word Tokenizer with RemBertTokenizerFast of Transformers

Last update: Dec 22, 2021

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Overview

Japanese-LUW-Tokenizer

Japanese Long-Unit-Word (国語研長単位) Tokenizer for Transformers based on 青空文庫

Basic Usage

>>> from transformers import RemBertTokenizerFast
>>> tokenizer=RemBertTokenizerFast.from_pretrained("Japanese-LUW-Tokenizer")
>>> tokenizer.tokenize("全学年にわたって小学校の国語の教科書に大量の挿し絵が用いられている")
['全', '学年', 'にわたって', '小学校', 'の', '国語', 'の', '教科書', 'に', '大量', 'の', '挿し', '絵', 'が', '用い', 'られ', 'ている']

Installation

pip3 install 'transformers>=4.10.0' --user
git clone --depth=1 https://github.com/KoichiYasuoka/Japanese-LUW-Tokenizer

Owner

Koichi Yasuoka

Professor of Digital Humanities

GitHub Repository

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Related tags

Overview

Japanese-LUW-Tokenizer

Basic Usage

Installation

Owner

Koichi Yasuoka

This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.

Text preprocessing, representation and visualization from zero to hero.

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