Generate spelling correction suggestions for words and sentences by using Natural Language Processing APIs in Java.
In our technology-driven world, electronic communication is increasingly overshadowing verbal communication. Whether we are filling out an online form, sending a text on our phone, or writing an email, it is a fact that many of our business and personal interactions require efficiently written (typed) language. Due to this heavy reliance on electronic communication, it is critical to ensure your online platform has a support system built-in to account for human error; if your application or website allows input or search queries from users, you run the risk of your systems not understanding the text due to spelling errors — and this is where spellcheck comes in.
When you stop and consider how many times you encounter spellcheck in your electronic interactions, it should become clear that it has created a huge failsafe for our often rushed and impatient natures. Spellcheck has come a long way since its beginnings; the first spellcheckers simply verified words instead of suggesting corrections. Fast forward to our current era and spellcheckers have improved in both functionality and efficiency; they operate in the background of our applications and let us know with a red line that we have made a potential error. This is often accomplished with Natural Language Processing (NLP) which, as we have discussed previously, enables computers to process and interpret human language in the form of text or audio data.
One of the only drawbacks of NLP is that it can often take days or weeks of training to learn a specific process. Instead of delving into the details of NLP training, dealing with multiple spelling databases, and trying to figure out how to reconcile each character’s location on the keyboard with our accuracy data, we are going to simplify the spellcheck process by using a couple of APIs in Java. Integrating these into your platforms will allow you to automatically spellcheck words and sentences and generate correction suggestions as JSON.
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