taishi-i/nagisa_stopwords

Japanese Stopwords for nagisa

A curated list of Japanese stopwords based on the tokenization rules of nagisa, a Japanese text analysis library.

Overview

Language	Japanese
Size	100 words
Source	CC-100, Wikipedia
License	MIT

Dataset Description

This dataset contains the top 100 most frequently used words in Japanese text, extracted from large-scale corpora. Each word is annotated with its part-of-speech (POS) tag according to nagisa's tokenization rules.

This list is constructed by extracting the top 100 most commonly used words from the following sources:

• CC-100 dataset - Monolingual datasets from Common Crawl
• Wikipedia - Japanese Wikipedia dumps

Usage

Installation

pip install datasets

Requirements

This dataset requires datasets >= 2.10.0.

Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("taishi-i/nagisa_stopwords")

# Get the top 100 most commonly used words
words = dataset["nagisa_stopwords"]["words"]

# Get the part-of-speech tags
postags = dataset["nagisa_stopwords"]["postags"]

Example: Filtering Stopwords from Text

import nagisa
from datasets import load_dataset

# Load stopwords
dataset = load_dataset("taishi-i/nagisa_stopwords")
stopwords = set(dataset["nagisa_stopwords"]["words"])

# Tokenize and filter
text = "東京で美味しいラーメンを食べました"
tokens = nagisa.tagging(text)
print(tokens.words)
# ['東京', 'で', '美味しい', 'ラーメン', 'を', '食べ', 'まし', 'た']

filtered_words = [word for word in tokens.words if word not in stopwords]
print(filtered_words)
# ['東京', '美味しい', 'ラーメン', '食べ']

Data Fields

Field	Type	Description
words	string	Japanese word or character
postags	string	Part-of-speech tag in Japanese

Part-of-Speech Tags

The dataset includes the following POS tags:

POS Tag	English	Count
助詞	Particle	22
補助記号	Auxiliary Symbol	14
助動詞	Auxiliary Verb	16
名詞	Noun	18
動詞	Verb	16
接頭辞	Prefix	2
接尾辞	Suffix	4
連体詞	Adnominal	2
形容詞	Adjective	1
形状詞	Adjectival Noun	1
代名詞	Pronoun	3
空白	Whitespace	1

Sample Data

words	postags
の	助詞
、	補助記号
。	補助記号
て	助詞
に	助詞
を	助詞
が	助詞
は	助詞
と	助詞
た	助動詞

Use Cases

• Text preprocessing: Remove common words before text analysis
• Feature extraction: Reduce noise in bag-of-words or TF-IDF representations
• Search optimization: Filter out stopwords from search queries
• Text classification: Improve model performance by removing non-informative words

Related Resources

• nagisa - Japanese tokenizer based on RNN
• CC-100 - Monolingual datasets from Common Crawl
• Wikipedia Dumps - Wikipedia database dumps

Citation

If you use this dataset, please cite:

@misc{nagisa_stopwords,
  author = {Taishi Ikeda},
  title = {Japanese Stopwords for nagisa},
  year = {2023},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/taishi-i/nagisa_stopwords}
}