Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈:
語幹（レンマ）は単語の原形です。つまり、「tree」と「trees」は2つの単語ですが、同じ語幹「tree」に属します。同様に、「go」「went」「going」はすべて、根底にある語幹「to go」の形です。このデータセットには、日本語で最も一般的な語幹が含まれています。
内容:
このデータセットには、インターネットコーパスから抽出された最も一般的な日本語の語幹が含まれており、ChaSen形態素解析器（http://chasen.naist.jp/hiki/ChaSen/）によってタグ付けされています。各語幹について、出現頻度（コーパス内での出現回数）と、他の語幹に対する相対的なランクが提供されています。
コーパス全体のサイズは253,071,774トークンで、語彙数は451,963種類です。
謝辞:
このデータセットは、リーズ大学の翻訳研究センターで開発され（詳細情報: http://corpus.leeds.ac.uk/list.html）、CC - BYライセンスの下で配布されています。
着想:
このデータセットは、日本語テキストの研究に特に役立つリソースです。
* 一般的な語幹の中で、ひらがな、カタカナ、漢字の文字の分布はどのようになっていますか？
* 機械翻訳を使って、他の言語での同等の語幹とその頻度を見つけることはできますか？最も頻出する概念には、言語間で大きな違いがありますか？
* 日本語で最も一般的な品詞はどれですか？これらは言語間で異なっていますか？
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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