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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Confusion Network Decoding method appliedIn Machine Translation System Combination method 36510.0
Confusion Network Decoding method comparesWith Direct Lattice Decoding method 20488.0
Confusion Network Decoding method evaluatedIn GALE otherentity 27043.0
Confusion Network Decoding method involves Hypothesis Alignment otherentity 36510.0
Confusion Network Decoding method isBasedOn Incremental Hypothesis Alignment method 28256.0
Confusion Network Decoding method uses Hypothesis Alignment Algorithm method 28173.0
Confusion Networks method comparesWith Generic Word Graphs otherentity 44836.0
Confusion Networks method comparesWith Lattice Based System Combination method 44312.0
Confusion Networks method evaluatedBy BLEU metric 44836.0
Confusion Networks method evaluatedBy N-gram BLEU metric 44836.0
Confusion Networks method evaluatedBy Unigram BLEU metric 44836.0
Confusion Networks method usedFor Machine Translation task 6788.0
Confusion Set material extractedFrom Corpus material 5886.0
Confusion Set material guides Pointer Networks method 39387.0
Confusion Set Approach method addresses Real Word Errors task 8514.0
Confusion Set Approach method uses Confusion Set material 8514.0
Confusion Set Disambiguation task evaluatedIn Labeled Data material 35397.0
Confusion Set Disambiguation task relatedTo Data Scaling method 12657.0
Confusion Set Disambiguation task relatedTo Learning Curves metric 12657.0
Confusion Set Expansion method improves Chinese Spelling Check task 7486.0