Data Structure ?
11750.7M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
コンテキスト
タミル語は世界で最も長く存続している古典言語の一つです。これは「古典的な過去と明らかに連続性を持つ現代インドの唯一の言語」と形容されています。古典タミル文学の多様性と質は、それを「世界の偉大な古典的伝統と文学の一つ」と形容させるほどです。
タミル語コーパスは、研究者、IT専門家、学生が、感情分類、トピックモデリング、テキスト要約、テキスト生成、固有エンティティ認識、知識グラフ、チャットボットのためのタミル語モデルを作成するのに役立ちます。
コンテンツ
タミル語コーパスはウィキペディアとタミル語の毎日のニュース記事から構成されています。機械学習モデルを構築する際の使いやすさのために、データセットは訓練用とテスト用に分割されています。
謝辞
タミル語の自然言語処理への貢献について、ヴァナガムディとガウロヴに感謝します。彼らの自然言語処理に使用されるデータセットは、このデータセットを準備するのに本当に役立ちました。
https://github.com/vanangamudi/tamil-lm2
https://github.com/goru001/nlp-for-tamil
インスピレーション
人工知能の世界におけるタミル語の進化と、教育と研究への貢献
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
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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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