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The binary digits could be used to represent words, sounds, images -- perhaps even ideas.
The most noticeable feature is the use of single letters, numerals, and symbols to represent words or parts of words, as with b "be" and 2 "to".
In deep learning, words are embedded to represent words.
Spelling might help us recognise and represent words in our heads.
In contrast, the traditional way to represent words in NLP systems is to treat each token as a completely independent feature.
Some such claims are widely agreed upon: whether we write from left to right or right to left, for instance, and what particular marks we choose to represent words on paper.
Similar(45)
A lot of researchers represent word meaning by vectors.
The variables at other levels are binary latent variables that represent word co-occurrence patterns or co-occurrences of such patterns.
Later they invent the hypotheses that writing represents words rather than things and that these words are series of sounds.
After representing words in the training set as feature vectors, we used libSVM6 to train the model.
The whole index file is logically subdivided into 16,777,216 parts, each part representing words having identical first 12 nucleotides.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com