{"id":"W2151839123","doi":"","title":"Translating Unknown Words by Analogical Learning","year":2007,"lang":"en","type":"article","venue":"Empirical Methods in Natural Language Processing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lexicon; Computer science; Artificial intelligence; Natural language processing; Machine translation; Quality (philosophy); Translation (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004856572,0.0004220609,0.0005291502,0.0004464129,0.0002975305,0.000392742,0.001384207,0.0003626852,0.00001950848],"category_scores_gemma":[0.00204283,0.000337727,0.0001418259,0.002669525,0.0001359076,0.001050989,0.0003457964,0.002300357,0.000004005172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238628,"about_ca_system_score_gemma":0.00009313132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003461298,"about_ca_topic_score_gemma":0.00002543105,"domain_scores_codex":[0.9959212,0.0006721996,0.0008047706,0.0009609296,0.0005961786,0.001044721],"domain_scores_gemma":[0.9980228,0.001003384,0.0002790694,0.0003666367,0.0001177381,0.0002104002],"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":[0.00002120544,0.00005338428,0.001053834,0.00006156891,0.000005393103,0.0001588641,0.004527202,0.000005502975,0.03736677,0.0004306199,0.00004285713,0.9562728],"study_design_scores_gemma":[0.003613478,0.0006681345,0.002992485,0.00200626,0.00008229982,0.0008181951,0.004203029,0.5684596,0.352326,0.04227624,0.01679784,0.005756494],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005569072,0.08944771,0.9010648,0.0008905859,0.0001961869,0.0001806129,5.162717e-7,0.001199808,0.001450706],"genre_scores_gemma":[0.4406113,0.000005378838,0.5584958,0.0005844925,0.00008601,0.000006739045,0.000004749328,0.00002167986,0.0001838707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9505163,"threshold_uncertainty_score":0.9999075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097276130335845,"score_gpt":0.432158857636875,"score_spread":0.4011860963335165,"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."}}