DECODING ISSUES


Challenges in Decoding

  • Search space size --- exhaustive search is impractical
  • Efficiency --- requirements on computation time and memory
  • Accuracy --- generate the correct hypotheses
  • Scalability --- increase in computation is proportional to the gain of using complex models
  • Flexibility --- ability to perform under different constraints

  • Approaches

  • Search space reduction

    - Efficient hypotheses generation

    - Merging common hypotheses
  • Pruning unlikely hypotheses
  • Applying external knowledge

  • Sub-optimal choices