Data stored in memory is decoded using iterative probabilistic decoding and multiple decoders. A first decoder attempts to decode a representation of a codeword. If the attempt is unsuccessful, a second decoder attempts to decode the representation of a codeword. The second decoder may have a lower resolution than the first decoder. Probability values such as logarithmic likelihood ratio (LLR) values may be clipped in the second decoder. This approach can overcome trapping sets while exhibiting low complexity and high performance. Further, it can be implemented on existing decoders such as those used in current memory devices.