{"id":"W2141971526","doi":"","title":"Statistical Phrase-Based Post-Editing","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Human Resources and Skills Development Canada","keywords":"Machine translation; Computer science; Phrase; Natural language processing; BLEU; Task (project management); Artificial intelligence; Translation (biology); Mode (computer interface); Human–computer interaction; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00332412,0.0009755061,0.001203293,0.001649394,0.0005461141,0.001598367,0.00274351,0.0009925753,0.005537262],"category_scores_gemma":[0.01689474,0.0005144621,0.0007928296,0.002419601,0.0008261242,0.002280079,0.00108412,0.001619045,0.006585419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817597,"about_ca_system_score_gemma":0.001341497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000898324,"about_ca_topic_score_gemma":0.00162405,"domain_scores_codex":[0.9954398,0.001507192,0.0003754064,0.0008916147,0.001652907,0.0001330727],"domain_scores_gemma":[0.978893,0.007799916,0.001383902,0.006140734,0.005560006,0.0002224819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002545658,0.0004103892,0.003140599,0.0006236419,0.000227512,0.0005853993,0.0003896274,0.01828295,0.121247,0.01286189,0.01115918,0.8308172],"study_design_scores_gemma":[0.0001455028,0.001159688,0.006673494,0.0000792506,0.0002722153,0.002818494,0.0002510754,0.5834242,0.3015946,0.0474063,0.05590469,0.0002706311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01286421,0.0002296775,0.9734511,0.0002458571,0.0001457365,0.0001530395,0.0004500762,0.009286262,0.003174031],"genre_scores_gemma":[0.1674724,0.0002843614,0.8239572,0.0003950353,0.0002221165,0.0002110203,0.001998364,0.0009769907,0.004482527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005537262,"threshold_uncertainty_score":0.01852399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085123582808055,"score_gpt":0.2833709958663108,"score_spread":0.2725197600382302,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}