All Relationships

Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
MT Technology method improves Post Editing task 18288.0
MT Technology method uses Hybrid Approach method 18288.0
MT Technology method uses Linguistic Resources material 28942.0
MT data material evaluatedBy BLEU metric 26962.0
MT for Authors task isTypeOf Machine Translation task 379.0
MT for Revisors task isTypeOf Machine Translation task 379.0
MT for Translators task isTypeOf Machine Translation task 379.0
MT for Watchers task isTypeOf Machine Translation task 379.0
MT2Net method appliesTo Question Answering task 38928.0
MT2Net method supports Numerical Reasoning task 38928.0
MT3 material evaluatedBy Usability metric 2829.0
MT3 material supports Machine Translation task 2829.0
MT3 material usedBy Translation Students otherentity 2829.0
MT@BZCorpus material evaluatedBy BLEU metric 3027.0
MT@BZCorpus material evaluatedBy TER metric 3027.0
MT@BZCorpus material evaluatedBy chrF2 metric 3027.0
MTBERT method uses Multi Teacher Co finetuning method 33797.0
MTBERT method uses Multi Teacher Distillation Loss metric 33797.0
MTBERT method uses Multi Teacher Hidden Loss metric 33797.0
MTEQA method evaluatedIn WMT20 Evaluation Datasets material 27688.0