( ( For example ) ( , ( ( a human ) ( ( may ( ( classify ( ( an image ) ( of ( an animal ) ) ) ) ( by ( recognizing ( ( ( ( ( ( ( ( ( ( certain features ) ( such ( as ( ( the number ) ( of limbs ) ) ) ) ) , ) ( ( the texture ) ( of ( the skin ) ) ) ) ( -LRB- ( ( whether ( it ( ( ( is furry ) , ) ( ( feathered , ) ( ( scaled , ) etc. ) ) ) ) ) -RRB- ) ) ) , ) ( ( the size ) ( of ( the animal ) ) ) ) , ) and ) ( ( the list ) ( goes on ) ) ) ) ) ) ) . ) ) ) )
(ROOT (S (PP (IN For) (NP (NN example))) (, ,) (NP (DT a) (NN human)) (VP (MD may) (VP (VB classify) (NP (NP (DT an) (NN image)) (PP (IN of) (NP (DT an) (NN animal)))) (PP (IN by) (S (VP (VBG recognizing) (NP (NP (NP (JJ certain) (NNS features)) (PP (JJ such) (IN as) (NP (NP (DT the) (NN number)) (PP (IN of) (NP (NNS limbs)))))) (, ,) (NP (NP (DT the) (NN texture)) (PP (IN of) (NP (DT the) (NN skin)))) (PRN (-LRB- -LRB-) (SBAR (IN whether) (S (NP (PRP it)) (VP (VBZ is) (ADJP (JJ furry)) (, ,) (INTJ (INTJ (UH feathered)) (, ,) (INTJ (NN scaled) (, ,) (NN etc.)))))) (-RRB- -RRB-)) (, ,) (NP (NP (DT the) (NN size)) (PP (IN of) (NP (DT the) (NN animal)))) (, ,) (CC and) (NP (NP (DT the) (NN list)) (SBAR (S (VP (VBZ goes) (PRT (RP on)))))))))))) (. .)))
For example, a human may classify an image of an animal by recognizing certain features such as the number of limbs, the texture of the skin (whether it is furry, feathered, scaled, etc.), the size of the animal, and the list goes on.
(ROOT (S (NP (NP (NNP Dry) (NN skin)) (CC and) (NP (NNS scales))) (VP (VBP are) (NP (NP (NN part)) (PP (IN of) (NP (NP (DT an) (NN animal)) (SBAR (WHNP (WDT that)) (S (VP (MD would) (ADVP (RBS most) (RB likely)) (VP (VB be) (VP (VBN classified) (PP (IN as) (NP (DT a) (NN reptile)))))))))))) (. .)))