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Text normalization is the process of transforming text into a single canonical form that it might not have had before. Normalizing text before storing or processing it allows for separation of concerns, since input is guaranteed to be consistent before operations are performed on it. Text normalization requires being aware of what type of text ...
How to determine that it is the same text? Very simple. They contain many of the same words. If the document of 1,000 words dictionary 800 are a pair, then most likely, it is a translation from one language to another. And then it is already possible to break the text into paragraphs, to offer and something to do with this work.
Begin new paragraph: Pilcrow (Unicode U+00B6) ¶ no: Remove paragraph break: Caret [a] (Unicode U+2038, 2041, 2380) ‸ or ⁁ or ⎀ Insert # Insert space: Close up (Unicode U+2050) ⁐ Tie words together, eliminating a space: I was reading the news⁐paper this morning. ] [Center text] Move text right [Move text left: M̲: Insert em dash: N̲ ...
If the original text is formulated in ordinary language then the term natural language formalization is often used. An example is the translation of the English sentence "some men are bald" into first-order logic as (() ()). [a] The purpose is to reveal the logical structure of arguments. This makes it possible to use the precise rules of ...
The first way to divide sentences into groups was the original paragraphos, similar to an underscore at the beginning of the new group. [1] The Greek parágraphos evolved into the pilcrow (¶), which in English manuscripts in the Middle Ages can be seen inserted inline between sentences. Indented paragraphs demonstrated in the US Constitution
To support specified character encoding, the editor must be able to load, save, view and edit text in the specific encoding and not destroy any characters. For UTF-8 and UTF-16, this requires internal 16-bit character support. Partial support is indicated if: 1) the editor can only convert the character encoding to internal (8-bit) format for ...
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