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The state of computational linguistic interpretation is at a notable limbo in time it seems, being carried through the advancing technologies of fast computation and big data, but still can be comically inept at talking the talk. With all the amazing things software is capable of these days, it still has troubles effectively analyzing text the way we would.
In Binder’s piece, “Alien Reading: Text Mining, Language Standardization, and the Humanities” the process of analyzing text is talked about, and the current place of text-interpretation is contemplated. I agree with many of his points about the pitfalls of relying on this current format of analysis for humanist purposes. It is important to know that highly statistical means that calculate the interpretation, and the literary aspects current measures neglect. However, I felt as though certain parts were overly dismissive of current processing techniques, because while we may not have a machine that can talk to you flawlessly or analyze the intricacies of Walt Whitman’s words, for specific purposes current methods are quite good. Search and translation engines can be highly effective these days. Binder did acknowledge this to some degree, and was more focused on humanist readings, though I don’t know much software that even claims to do that well.
We certainly have a lot of exploration left in this field, but where we are right now is still worthwhile,.