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An ambigram is a visual pun of a special kind: a calligraphic design having two or more (clear) interpretations as written words. One can voluntarily jump back and forth between the rival readings usually by shifting one's physical point of view (moving the design in some way) but sometimes by simply altering one's perceptual bias towards a ...
4 Line feed is used for "end of line" in text files on Unix / Linux systems. 5 Carriage Return (accompanied by line feed) is used as "end of line" character by Windows, DOS, and most minicomputers other than Unix- / Linux-based systems 6 Control-O has been the "discard output" key. Output is not sent to the terminal, but discarded, until ...
All contain graphemes that represent phonetic (sound-based) elements as well. These phonetic elements may be used on their own (to represent, for example, grammatical inflections or foreign words), or may serve as phonetic complements to a logogram (used to specify the sound of a logogram that might otherwise represent more than one word). In ...
Ideograms that represent physical objects by visually resembling them are called pictograms. Numerals and mathematical symbols are ideograms, for example 1 'one', 2 'two', + 'plus', and = 'equals'. The ampersand & is used in many languages to represent the word and, originally a stylized ligature of the Latin word et.
Blissymbols or Blissymbolics is a constructed language conceived as an ideographic writing system called Semantography consisting of several hundred basic symbols, each representing a concept, which can be composed together to generate new symbols that represent new concepts.
A Fibonacci word is a specific sequence of binary digits (or symbols from any two-letter alphabet). The Fibonacci word is formed by repeated concatenation in the same way that the Fibonacci numbers are formed by repeated addition. It is a paradigmatic example of a Sturmian word and specifically, a morphic word.
First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization. The front-end then assigns phonetic transcriptions to each word, and divides and marks the text into prosodic units, like phrases, clauses, and ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.