All NLP is about mapping the internal statistical dependencies of language, missing the point that language is a *communication protocol*.
You cannot study language without considering *agents* communicating *about something*.
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The only reason language even has any statistical dependencies to study is because it's imperfect.
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A maximally efficient communication protocol would look like random noise, out of context (besides error correction mechanisms).
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*Source* and *context* dependency--are they merely additional parameters to stir into the modeling?
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