{"id":"W1496822098","doi":"10.1023/a:1013136005350","title":"Towards a Lexicographic Approach to Lexical Transfer in Machine Translation (Illustrated by the German–Russian Language Pair)","year":2001,"lang":"en","type":"article","venue":"Machine Translation","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computational linguistics; Computer science; Natural language processing; Artificial intelligence; Linguistics; Philosophy","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":[0.002319196,0.0006491313,0.0006879511,0.002908816,0.001662549,0.005000312,0.001126557,0.001706946,0.008440513],"category_scores_gemma":[0.004196079,0.0008869142,0.0009805453,0.003269722,0.005242516,0.007426756,0.002824201,0.001984753,0.004532853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022244,"about_ca_system_score_gemma":0.001510561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485166,"about_ca_topic_score_gemma":0.001890923,"domain_scores_codex":[0.9984131,0.001026206,0.0001039582,0.000160183,0.0002258661,0.00007068352],"domain_scores_gemma":[0.9986364,0.0008390363,0.00006651165,0.0002142508,0.0002126003,0.00003111689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008089958,0.00005814488,0.0002261242,0.0003841294,0.00002503809,0.0002945836,0.001096268,0.003911075,0.005376738,0.8478625,0.006335361,0.1343491],"study_design_scores_gemma":[0.00003393363,0.00005373856,0.0002371549,0.0001300504,0.00002345894,0.0004406623,0.000533872,0.02864846,0.00721441,0.9127493,0.04989502,0.00003984054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004344325,0.002739817,0.9649716,0.003472989,0.0004383662,0.00007217452,0.0001012507,0.0006847415,0.02317475],"genre_scores_gemma":[0.1091044,0.004484294,0.8728415,0.000817676,0.0005634691,0.0002275932,0.0003536938,0.000497307,0.01111009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008440513,"threshold_uncertainty_score":0.02823639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119614656579054,"score_gpt":0.2848283274894695,"score_spread":0.263632180923679,"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."}}