MACHINE LEARNING
Also , until now , most advances have been focused on English , but big tech companies like Google and Facebook are now publishing pre-trained multilingual models which perform just as well or even better than monolingual ones . Open-source libraries are following in the footsteps of the two companies so it is expected there will be more NLP models emerging .
Dr Garfield Benjamin , a Postdoctoral Researcher at Solent University , says there are seemingly endless use cases available . He says : “ This can be from automatically converting a scanned document into a text file , deciding what movie to recommend to you next , or deciding future education , finances or opportunities . In every sector it seems you can find someone peddling an AI system to make decisions , across businesses , government , charities , education , health and the military - the list goes on ”.
What is still to come in terms of the technology ? NLP is rapidly evolving , with applications of its processing growing constantly . With so much data at our disposal it is therefore crucial to understand it , monitor it and in some cases , censor it , for example in the case of cyberbullying . Thanks to ready-to-use pre-trained models , along with low-code , no-code tools that are accessible to everyone , in the years to come , NLP is set to become even more widespread . Businesses in particular will continue to benefit from the technology , from improving their operations and customer satisfaction , to reducing costs and making better , informed decisions . Now more than ever , businesses of all kinds need a helping hand and for this NLP could be just the ticket .
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