Language modeling are at the heart of many Natural Language Processing systems. Whenever a system needs to guess the next word in a sequence, evaluate how natural a sentence sounds or choose between alternative outputs, it relies on some estimate…
Natural Language Processing systems almost never receive perfectly clean and error free input. Users type quickly on mobile phones. Optical character recognition introduces mistakes when scanning documents. Search queries are full of missing letters, extra letters and swapped characters. Any…
Natural Language Processing systems rarely work directly on raw, messy text. Before any model can classify, translate, summarise or retrieve documents, the text must pass through a careful cleaning and structuring phase. In addition, modern NLP research and development depends…
Natural Language Processing is one of the most important areas inside Artificial Intelligence. Almost everything we do on the internet passes through some form of language processing. Search engines. Email filters. Social media platforms. Customer support chatbots. Digital assistants. All…