Morphological Model 3: Unification-based Morphology

Unification-based morphology is a way for computers to understand how words are built by combining pieces of information called features.

Each part of a word (like a root or ending) has certain features.
For example, “cat” is a noun, and “-s” means plural.

i. Every word part is described using a feature structure - basically a list of properties.
ii. When you join parts together, the computer checks if their features match.
iii. If they fit (like noun + plural), they combine successfully.
iv. If they don’t fit (like verb + plural noun ending), the combination fails.

Root: cat → {type: noun}
Suffix: -s → {number: plural}

When unified, they become {type: noun, number: plural} → cats

In short, unification-based morphology is like matching puzzle pieces of word information, only the ones that fit together make a correct word.