With the latest aircraft churning out gigabytes of numerical data, there is plenty of number-crunching to do to enable predictive maintenance. But a great deal of information important to predictions and smarter troubleshooting is not in the form of numbers; it is in words—in manuals, in pilot and mechanic notes—or even in mechanics’ spoken descriptions of immediate problems. For this kind of data, natural language processing (NLP) is the tool of choice.   Humans do ...


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