taishi-i/nagisa_stopwords

Japanese Stopwords for nagisa

This dataset is the Japanese stopwords list built into nagisa (v0.2.12+). It is published here on Hugging Face for easy access and reproducibility.

Overview

Language	Japanese
Size	147 words
Source	CC-100, Wikipedia
License	MIT

Dataset Description

This dataset contains 147 frequently used Japanese words extracted from large-scale corpora. Each word is annotated with its part-of-speech (POS) tag according to nagisa's tokenization rules.

Since nagisa v0.2.12, this stopwords list is included by default and can be accessed directly via nagisa.stopwords. The list was expanded from 100 to 147 words, with additional POS categories (代名詞, 接続詞) to improve coverage.

The stopwords are constructed from the following sources:

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

Usage

Using with nagisa (Recommended)

Since nagisa v0.2.12, stopwords are built-in. No additional installation is required.

import nagisa

# Tokenize text
text = "日本語のストップワードを簡単に利用できます。"
tokens = nagisa.tagging(text)
print(tokens.words)
# ['日本', '語', 'の', 'ストップ', 'ワード', 'を', '簡単', 'に', '利用', 'でき', 'ます', '。']

# Filter stopwords
words = [word for word in tokens.words if word not in nagisa.stopwords]
print(words)
# ['日本', '語', 'ストップ', 'ワード', '簡単', '利用', '。']

Using with Hugging Face Datasets

pip install datasets

This dataset requires datasets >= 2.10.0.

from datasets import load_dataset

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

# Get stopwords
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
助動詞	Auxiliary Verb	37
助詞	Particle	35
動詞	Verb	24
名詞	Noun	13
代名詞	Pronoun	13
接続詞	Conjunction	9
接尾辞	Suffix	5
副詞	Adverb	3
接頭辞	Prefix	2
連体詞	Adnominal	2
感動詞	Interjection	2
形状詞	Adjectival Noun	1
空白	Whitespace	1

Sample Data

words	postags
の	助詞
て	助詞
に	助詞
を	助詞
が	助詞
は	助詞
と	助詞
た	助動詞
し	動詞
で	助詞

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}
}