![]() ![]() The problem with predictive text errors is that the word replacement often doesn't reflect the intended word at all, so the reader is left confused about what is meant.Īn example in a brochure we saw recently was: In a bid to raise mine for the charity. There are numerous websites that record funny examples, such as however, with the rise in 'working on the go', this trend is now creeping into documents of a more-important nature. We know that predictive text has created some amusing and embarrassing mistakes in texting and messaging. ![]() ![]() Where you can often check a mis-keying by looking at the keyboard and seeing that an adjoining key was pressed by mistake, with predictive text whole words are replaced with what an unrefined algorithm thinks you wanted to say (based on words you may have typed before in a text message or similar words it recognises using the letters or numbers you've pressed). The reason we can tell this is happening is because we're seeing some unusual spelling substitutions in the documents we proofread. There's no time (and limited functionality) to edit, so it then gets sent straight to the designer. Say the writer finishes a report on the train home, on their phone or iPad. However, as professional proofreaders, we're seeing more documents coming through that appear to have been written on a tablet or smartphone and this creates a new problem. ![]() One would think, with increasingly smart language technology such as predictive text and advanced grammar checkers, there would be less need for proofreading. ![]()
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