Morphological Model 5: Morphological Induction

Morphological induction is about learning how words are formed automatically, instead of manually writing rules or listing all word forms, the computer figures out patterns by looking at examples.

i. The system is given many examples of words and their parts (like roots and endings).
ii. It looks for regular patterns, for instance, noticing that adding “-ed” makes verbs past tense.
iii. From these examples, it learns general rules that can apply to new words.
iv. This process helps build models that can guess or generate word forms even if they haven’t been seen before.

If the computer sees:

walk → walked
jump → jumped
play → played

It can learn the rule: “Add -ed to make past tense”.

Then it can apply that rule to new verbs like “talk → talked”.