We often encounter ambiguous letters when reading handwritten words, but can still interpret them. For example, the same shape can be interpreted as an A in CAT but an H in THE. How does the feature net account for this?

Question

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The feature net operates at the letter level, which allows it to distinguish between different letters despite their similarity in shape. The net uses a set of features specific to each letter to determine which letter is most likely present in a given instance. In the case of ambiguous shapes like those found in CAT and THE, the feature net can use context and other features to make the best guess at the intended letter.

We Often Encounter Ambiguous Letters When Reading Handwritten Words, but Can