{"id":"W2740090399","doi":"","title":"The Challenge of Simultaneous Speech Translation","year":2016,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"TED","keywords":"Computer science; Speech translation; Translation (biology); Speech recognition; Natural language processing; Artificial intelligence; Machine translation; Chemistry","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":[0.008718054,0.001178091,0.00181778,0.001201256,0.00187071,0.00522536,0.00253628,0.00369781,0.004701292],"category_scores_gemma":[0.03180061,0.001058023,0.001133994,0.002721434,0.003833004,0.009756943,0.004114892,0.005067806,0.005714855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519264,"about_ca_system_score_gemma":0.003070218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989213,"about_ca_topic_score_gemma":0.002311515,"domain_scores_codex":[0.9917247,0.003299301,0.0004832613,0.002036594,0.002048984,0.0004070099],"domain_scores_gemma":[0.9679404,0.02375215,0.001038795,0.003653078,0.003209571,0.0004059304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005381294,0.0002072649,0.002944933,0.001143843,0.000198036,0.0007269629,0.003071998,0.09810377,0.01293987,0.1194739,0.03028698,0.7303643],"study_design_scores_gemma":[0.0001219014,0.0002063991,0.001223996,0.0001687926,0.00009042437,0.0008906777,0.001920941,0.4053946,0.01362989,0.5242103,0.05203014,0.0001118921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02428112,0.003681082,0.9451277,0.01073456,0.0004721601,0.0001235772,0.0005728231,0.002981285,0.01202564],"genre_scores_gemma":[0.4427553,0.00492167,0.53083,0.001969892,0.00125006,0.000404043,0.001829749,0.001531478,0.01450789],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008718054,"threshold_uncertainty_score":0.04610604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032304632544833,"score_gpt":0.274101224089465,"score_spread":0.2237781777640167,"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."}}