M: Hypothetical situation. Let's say you've got three million text files. We'll assume that they're text. But let's cut it in half. Or, hell, let's round it down. Let's say you've got a million text files. What would it take in terms of manpower, assuming that it was only humans and non-intelligent computer services involved? How long could a intelligent, or how long would an intelligent person need to build some sort of text reference index, mapping out words and references in that, excluding the basics like the, and, and all of the particles? Again, assuming the person is only using unintelligent computers but is themselves clever enough to script batch files or something like that, but that in order to do it, they're going to have to perhaps write it or look up how to write it, or even just go online and find other people's examples of the appropriate batch files or scripts. Sorry, I keep using batch files because I was raised on DOS, but scripts work just as well.
G: [Non-text content: thoughts; content_type=thoughts]
G: [Non-text content: reasoning_recap; content_type=reasoning_recap]
G: だいたい: 人間が「読む」前提なら破綻。でも 人間が設計して、PCが走って作る索引なら、ほぼ 1人で数日〜数週間で「実用レベルの全文索引」は作れます(支配要因は 総データ量 と ディスクI/O)。
1,000,000ファイルを人間が目で読んで「単語→出現箇所」みたいな索引を作るのは、現実的に破綻します。
結論: 人間の仕事は「仕組みを作る」側に寄せないと無理。
あなたが言う「単語→参照」インデックスは、要するに 全文索引です。やることはシンプルで、賢さが必要なのは設計だけ。
ripgrep/grep + awk/python
+ sqlite
か、既存の全文検索エンジン(ただし「非知能」扱いでOK)「全単語の完全な逆引き(word→全出現位置)」を生で作ると巨大になりがちなので、普通はこう落とします:
“ファイル数”より **合計テキスト量(GB/TB)**が効きます。
目安(ざっくり):
つまり「1人が必要な時間」はだいたいこう:
日本語も一つだけ:
だいたい: 一人(ひとり)で できる — “Roughly: one person can do it.”
これは簡単です。
あなたが求めてるのが「参照できる仕組み」なら、実際には
もし「合計サイズ(だいたいでOK)」と「欲しい出力(word→fileだけ? 位置も?)」が分かってるなら、その前提でより現実的なレンジに絞って見積もれます。
M: Try that again in English, please. You've started doing this more, segwaying off into Japanese instead of just giving me a couple examples.
G: Got it. I’ll keep this entirely in English and stick to the point. No side-language detours.
You have ~1,000,000 text files.
You want a reference index like:
This is essentially building a full-text inverted index.
This collapses immediately.
Even absurdly optimistic assumptions:
That’s ~1.4 years of full-time work for one person — and the result would be low quality.
At any realistic reading speed, it becomes multiple years to decades.
So: humans cannot be the processors.
The human’s job is:
The computer’s job is:
This division is what makes the problem tractable.
Not file count. Total data size.
Rough real-world ranges:
Most of this time is:
Assuming SSD, not ancient hardware:
This is I/O-bound, not “intelligence-bound”.
A sane first pass index is usually:
Not:
If positional info is needed later, it can be added selectively.
This part is trivial technically:
This is a design choice, not a labor issue.
Adding people does not help much:
Adding more humans mostly adds coordination cost unless:
If you want, next step could be: