Method Term: transducer probability modeling

To view the usage of transducer probability modeling in the ACL ARC 2.0 corpus click here (i.e., KWIC using NoSke).

Terms semantically related to transducer probability modeling:

• markov transducer estimation
• corpus error detection
• non-parametrfc sign test
• distribution modeling
• feature weighting or selection
• word identification mechanism
• bioscience text normalization
• neighborhood learning
• em gaussian initialization
• tree-structured search
• relation analysis process
• information gathering translation
• simulation-based language understanding

Note that only terms are manually validated, not their relationships. See the ACL RD-TEC 1.0 documentations.