Natural language processing
MACHINE LEARNING
Natural language processing
The study of NLP began in the 1950s with the first attempts of automated translation from Russian to English , laying the groundwork for the research . At around the same time , the Turing Test - or imitation game - was developed to determine if a machine was capable of behaving in the same way as a human .
“ If there is any racist or sexist bias in society , this could produce data reflecting this , which can exacerbate problems and is particularly troublesome in security , policing , health and employment ”
SHIVVY JERVIS TRENDS FORECASTER AND CEO , FUTURESCAPE 248
Challenges of enterprise NLP Of course NLP applications come with the same risks of failure as any other AI deployments , including inflated expectations , unclear business cases and a lack of training data , which require different training sets , depending on the language processed and context . For example , one set of training data may be needed for processing contracts and another set for solutions to payroll queries . Then there are language nuances , such as sarcasm , local dialects , intent and generating bespoke responses .
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