{"id":"W179314280","doi":"","title":"Discriminative Reranking for Machine Translation","year":2004,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Machine translation; Discriminative model; NIST; Computer science; Artificial intelligence; Metric (unit); Evaluation of machine translation; Natural language processing; Baseline (sea); Translation (biology); BLEU; Sentence; Language model; Machine learning; Example-based machine translation; Machine translation software usability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002197544,0.00116044,0.001538738,0.001607817,0.000749138,0.001080597,0.001294374,0.001083529,0.003139371],"category_scores_gemma":[0.008533552,0.0003957372,0.0004943817,0.003181815,0.0009679261,0.002307912,0.0008983543,0.001710014,0.002725045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617381,"about_ca_system_score_gemma":0.0009966285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643801,"about_ca_topic_score_gemma":0.002892622,"domain_scores_codex":[0.9977667,0.00115339,0.0001132845,0.0003728516,0.0005090286,0.00008476605],"domain_scores_gemma":[0.9957783,0.002522293,0.0003481506,0.0007077409,0.0005634869,0.00007998724],"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":[0.0001444568,0.0001241621,0.0004900495,0.0005610146,0.00008052823,0.000147986,0.0001350333,0.107424,0.01117808,0.07019607,0.01441087,0.7951078],"study_design_scores_gemma":[0.00007816669,0.0001507471,0.0004279791,0.00003421875,0.00003711125,0.000257708,0.00002683676,0.8296517,0.007926566,0.142722,0.01863948,0.00004756615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002488968,0.001599996,0.9936591,0.0001617652,0.0001040527,0.00003100873,0.00006571405,0.0009137604,0.0009755775],"genre_scores_gemma":[0.1501319,0.002715604,0.8389713,0.000262614,0.0008632711,0.0002565981,0.0009915043,0.0003061066,0.005500982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003139371,"threshold_uncertainty_score":0.01162189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568892978725502,"score_gpt":0.3028351473361521,"score_spread":0.2771462175488971,"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."}}