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
私は旧約聖書の翻訳が、原典の古代ギリシャ語のテキストと比較すると、原義を伝えられないほど不十分であることが多いことに気づきました。ですから、研究には原典を使用するのが合理的です。驚いたことに、これまで古代ギリシャ語のテキストが自然言語処理（NLP）に適した形式で利用できなかったようです。
[ウィキペディアによると](https://en.wikipedia.org/wiki/Septuagint)、この共通語ギリシャ語のテキストは、ヘブライ語からの翻訳であると考えられています。しかし、これは私たちが持っている最も古い旧約聖書の書物の書面資料です。私たちが持っているヘブライ語版は、現在失われた原ヘブライ語の原本の写しとして、数百年後に書かれたものです。
新約聖書はこのギリシャ語のテキストを直接参照しており、したがって、研究に利用できるようにすることがより重要です。
内容
cut -d";" -f2 septuagint.csv|wc
1180行 653478語 7692966文字
謝辞
OpenDataScience Slackの@Danに、セプトアンティンのオンラインの平文ソースを教えてくれたことに感謝します。
着想
このテキストから、例えばストップワードのコレクション、固有名称、形態素ライブラリなどを持つ自然言語処理データセットクラスを作成するのは素晴らしいことです。現在のSpacyライブラリはテキストを処理することができますが、固有名詞を大きく捉えることはできません。
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