What are the advantages of transformation based learning?

1.1K    Asked by MilanModlin in Data Science , Asked on Nov 28, 2019
Answered by Nitin Solanki

The advantages of Transformation Based Learning are

a) It can easily learn small set of rules required for tagging

b) Bugging and development is easy in this technique

c) Tagging complexity can be reduced due to interlacing of machine learning and human generated rules.


d) It is faster tagger techniques compared to other models


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