Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly ...

If you think English has tough spelling rules, wait until you meet Tibetan. In this video, we explore what may be the most difficult spelling system on Earth, diving deep into the tangled, ancient ...

As artificial intelligence systems become smarter, one A.I. company is trying to figure out what to do if they become conscious.

A software architecture description is an example of such a model in software engineering [4], not to be confused with a (software) model of the Earth. To ensure the maintainability of ESMs, an ...

The method described assumes that a word which cannot be found in a dictionary has at most one error, which might be a wrong, missing or extra letter or a single transposition. The unidentified input ...

Spelling correction is a fundamental aspect of natural language processing systems, essential for ensuring the accuracy and fluency of text-based applications. In the context of neural machine ...

Automatic spelling correction Large document collections make manual correction infeasible and require unsupervised, fully-automatic spelling correction. In conventional spelling correction of a ...