We sometimes encounter ambiguous letters when reading handwritten words,but we can still interpret the words.For example,the same shape can be interpreted as an A in CAT but an H in THE.At what level of analysis does the feature net resolve this issue?

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The feature net operates at the level of letters or individual features, so it cannot resolve the ambiguity between A and H as they have the same features. However, at the bigram level (the level of letter pairs), the context of the surrounding letters can help to clarify which letter is intended. For example, in CAT, the T following the ambiguous letter makes it more likely that the ambiguous letter is an A, whereas in THE, the T preceding the ambiguous letter makes it more likely that it is an H.

We Sometimes Encounter Ambiguous Letters When Reading Handwritten Words,but We